@article {18183,
	title = {Component forensics},
	journal = {Signal Processing Magazine, IEEE},
	volume = {26},
	year = {2009},
	month = {2009/03//},
	pages = {38 - 48},
	abstract = {Visual sensor technologies have experienced tremendous growth in recent decades, and digital devices are becoming ubiquitous. Digital images taken by various imaging devices have been used in a growing number of applications, from military and reconnaissance to medical diagnosis and consumer photography. Consequently, a series of new forensic issues arise amidst such rapid advancement and widespread adoption of imaging technologies. For example, one can readily ask what kinds of hardware and software components as well as their parameters have been employed inside these devices? Given a digital image, which imaging sensor or which brand of sensor was used to acquire the image? How was the image acquired? Was it captured using a digital camera, cell phone camera, image scanner, or was it created artificially using an imageediting software? Has the image undergone any manipulation after capture? Is it authentic, or has it been tampered in any way? Does it contain any hidden information or steganographic data? Many of these forensic questions are related to tracing the origin of the digital image to its creation process. Evidence obtained from such analysis would provide useful forensic information to law enforcement, security, and intelligence agencies. Knowledge of image acquisition techniques can also help answer further forensic questions regarding the nature of additional processing that the image might have undergone after capture.},
	keywords = {ACQUISITION, component, data;, forensics;digital, image, of, processing;image, sensor, sensors;security, technique;visual, technology;image},
	isbn = {1053-5888},
	doi = {10.1109/MSP.2008.931076},
	author = {Swaminathan,A. and M. Wu and Liu,K. J.R}
}
@conference {18244,
	title = {Modeling content fingerprints using markov random fields},
	booktitle = {Information Forensics and Security, 2009. WIFS 2009. First IEEE International Workshop on},
	year = {2009},
	month = {2009/12//},
	pages = {111 - 115},
	abstract = {Content fingerprints are widely employed for identifying multimedia in various applications. A {\^A}{\textquestiondown}fingerprint{\^A}{\textquestiondown} of a video or audio is a short signature that captures unique characteristics of the signal and can be used to perform robust identification. Several fingerprinting techniques have been proposed in the literature and are often evaluated using benchmark databases. To complement these experimental evaluations, this paper develops a theoretical model for content fingerprints and evaluates the identification accuracy. Fingerprints and the noise are modeled as Markov random fields and the optimal decision rule for matching is derived. An algorithm to compute the probability of correct detection and the false alarm rate by estimating the density of states is described. Numerical results are provided for a model of a block based binary fingerprinting scheme and the influence of the fingerprint correlation and the noise on the detection accuracy is studied.},
	keywords = {based, binary, correlation;multimedia;noise;optimal, data;, decision, field;block, fingerprint;fingerprint, fingerprinting;content, Markov, of, processes;multimedia, random, rule;Markov, systems;probability;security},
	doi = {10.1109/WIFS.2009.5386471},
	author = {Varna,A.L. and M. Wu}
}
@conference {18285,
	title = {Tampering identification using Empirical Frequency Response},
	booktitle = {Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on},
	year = {2009},
	month = {2009/04//},
	pages = {1517 - 1520},
	abstract = {With the widespread popularity of digital images and the presence of easy-to-use image editing software, content integrity can no longer be taken for granted, and there is a strong need for techniques that not only detect the presence of tampering but also identify its type. This paper focusses on tampering-type identification and introduces a new approach based on the empirical frequency response (EFR) to address this problem. We show that several types of tampering operations, both linear shift invariant (LSI) and non-LSI, can be characterized consistently and distinctly by their EFRs. We then extend the approach to estimate the EFR for scenarios where only the final image is available. Theoretical reasoning supported by experimental results verify the effectiveness of this method for identifying the type of a tampering operation.},
	keywords = {aproach;JPEG, coding;multimedia, compression;frequency, compression;LSI, computing;security, data;, editing, EFR, forensics;tampering-type, Frequency, identification;data, image, invariant;multimedia, of, response;image, response;linear, shift, software;empirical, system;digital},
	doi = {10.1109/ICASSP.2009.4959884},
	author = {Chuang,Wei-Hong and Swaminathan,A. and M. Wu}
}
@conference {12556,
	title = {Multi-biometric cohort analysis for biometric fusion},
	booktitle = {Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on},
	year = {2008},
	month = {2008/04/31/4},
	pages = {5224 - 5227},
	abstract = {Biometric matching decisions have traditionally been made based solely on a score that represents the similarity of the query biometric to the enrolled biometric(s) of the claimed identity. Fusion schemes have been proposed to benefit from the availability of multiple biometric samples (e.g., multiple samples of the same fingerprint) or multiple different biometrics (e.g., face and fingerprint). These commonly adopted fusion approaches rarely make use of the large number of non-matching biometric samples available in the database in the form of other enrolled identities or training data. In this paper, we study the impact of combining this information with the existing fusion methodologies in a cohort analysis framework. Experimental results are provided to show the usefulness of such a cohort-based fusion of face and fingerprint biometrics.},
	keywords = {(access, analysis;biometrics, biometric, biometrics;fingerprint, biometrics;multi-biometric, cohort, control);face, data;, decisions;face, fusion;biometric, identification;security, MATCHING, of, recognition;fingerprint},
	doi = {10.1109/ICASSP.2008.4518837},
	author = {Aggarwal,G. and Ratha,N. K and Bolle, R.M. and Chellapa, Rama}
}
@article {18161,
	title = {Adaptive Detection for Group-Based Multimedia Fingerprinting},
	journal = {Signal Processing Letters, IEEE},
	volume = {14},
	year = {2007},
	month = {2007/12//},
	pages = {964 - 967},
	abstract = {Grouping strategy has been proposed recently to leverage the prior knowledge on collusion pattern to improve collusion resistance in multimedia fingerprinting. However, the improvement is not consistent, as reduced performance of the existing group-based fingerprinting schemes than the non-grouped ones is observed when the grouping does not match the true collusion pattern well. In this letter, we propose a new adaptive detection method, where the threshold for the group detection can be adjusted automatically according to the detection statistics that reflect the underlying collusion pattern. Experimental results show that the proposed adaptive detection outperforms nonadaptive detection and provides consistent performance improvement over non-grouped orthogonal fingerprinting schemes under various collusion scenarios.},
	keywords = {adaptive, computing;security, data;, detection;collusion, detection;group-based, fingerprinting;copy, fingerprinting;grouping, multimedia, of, orthogonal, pattern;detection, protection;multimedia, statistics;group, strategy;nongrouped},
	isbn = {1070-9908},
	doi = {10.1109/LSP.2007.907992},
	author = {He,Shan and M. Wu}
}
@conference {18177,
	title = {Collusion-Resistant Dynamic Fingerprinting for Multimedia},
	booktitle = {Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on},
	volume = {2},
	year = {2007},
	month = {2007/04//},
	pages = {II-289 -II-292 - II-289 -II-292},
	abstract = {This paper considers protecting multimedia content from unauthorized redistribution in subscription based services, where adversaries work together to pirate multiple multimedia programs during a subscription period. Collusion-resistant fingerprinting is an emerging tool for traitor tracing. However, most of the existing fingerprinting works did not consider multiple rounds of interaction between collusion and detection. In this paper, we exploit the temporal dimension and propose a dynamic fingerprinting scheme that adjusts the fingerprint design based on the detection result of previously pirated signal. We also examine colluders{\textquoteright} strategies to combat the tracing by dynamic fingerprinting. Both analytical and simulation results show that the proposed dynamic fingerprinting provides better collusion resistance than conventional static fingerprinting},
	keywords = {based, collusion-resistant, communication;security, data;, dimension;traitor, dynamic, fingerprinting;multiple, multimedia, of, piracy;subscription, program, redistribution;multimedia, services;temporal, tracing;unauthorized},
	doi = {10.1109/ICASSP.2007.366229},
	author = {He,Shan and M. Wu}
}
@conference {18150,
	title = {A Component Estimation Framework for Information Forensics},
	booktitle = {Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on},
	year = {2007},
	month = {2007/10//},
	pages = {397 - 400},
	abstract = {With a rapid growth of imaging technologies and an increasingly widespread usage of digital images and videos for a large number of high security and forensic applications, there is a strong need for techniques to verify the source and integrity of digital data. Component forensics is new approach for forensic analysis that aims to estimate the algorithms and parameters in each component of the digital device. In this paper, we develop a novel theoretical foundation to understand the fundamental performance limits of component forensics. We define formal notions of identifiability of components in the information processing chain, and present methods to quantify the accuracies at which the component parameters can be estimated. Building upon the proposed theoretical framework, we devise methods to improve the accuracies of component parameter estimation for a wide range of forensic applications.},
	keywords = {component, data, data;, Estimation, estimation;image, forensics;parameter, framework;digital, integrity;imaging, of, processing;security, technologies;information},
	doi = {10.1109/MMSP.2007.4412900},
	author = {Swaminathan,A. and M. Wu and Liu,K. J.R}
}
@article {18287,
	title = {Unicity Distance of Robust Image Hashing},
	journal = {Information Forensics and Security, IEEE Transactions on},
	volume = {2},
	year = {2007},
	month = {2007/09//},
	pages = {462 - 467},
	abstract = {An image hash is a randomized compact representation of image content and finds applications in image authentication, image and video watermarking, and image similarity comparison. Usually, an image-hashing scheme is required to be robust and secure, and the security issue is particularly important in applications, such as multimedia authentication, watermarking, and fingerprinting. In this paper, we investigate the security of image hashing from the perspective of unicity distance, a concept pioneered by Shannon in one of his seminal papers. Using two recently proposed image-hashing schemes as representatives, we show that the concept of unicity distance can be adapted to evaluate the security of image hashing. Our analysis shows that the secret hashing key, or its equivalent form, can be estimated with high accuracy when the key is reused several dozen times. The estimated unicity distance determines the maximum number of key reuses in the investigated hashing schemes. A countermeasure of randomized key initialization is discussed to avoid key reuse and strengthen the security of robust image hashing.},
	keywords = {authentication;image, authentication;randomized, coding;image, compact, comparison;multimedia, content;image, data;, distance;watermarking;image, fingerprinting;image, hashing;unicity, image, initialization;robust, key, of, representation;randomized, representation;security, similarity},
	isbn = {1556-6013},
	doi = {10.1109/TIFS.2007.902260},
	author = {Mao,Yinian and M. Wu}
}
@article {18233,
	title = {Joint coding and embedding techniques for MultimediaFingerprinting},
	journal = {Information Forensics and Security, IEEE Transactions on},
	volume = {1},
	year = {2006},
	month = {2006/06//},
	pages = {231 - 247},
	abstract = {Digital fingerprinting protects multimedia content from illegal redistribution by uniquely marking every copy of the content distributed to each user. The collusion attack is a powerful attack where several different fingerprinted copies of the same content are combined together to attenuate or even remove the fingerprints. One major category of collusion-resistant fingerprinting employs an explicit step of coding. Most existing works on coded fingerprinting mainly focus on the code-level issues and treat the embedding issues through abstract assumptions without examining the overall performance. In this paper, we jointly consider the coding and embedding issues for coded fingerprinting systems and examine their performance in terms of collusion resistance, detection computational complexity, and distribution efficiency. Our studies show that coded fingerprinting has efficient detection but rather low collusion resistance. Taking advantage of joint coding and embedding, we propose a permuted subsegment embedding technique and a group-based joint coding and embedding technique to improve the collusion resistance of coded fingerprinting while maintaining its efficient detection. Experimental results show that the number of colluders that the proposed methods can resist is more than three times as many as that of the conventional coded fingerprinting approaches.},
	keywords = {coding-embedding, coding;, collusion-resistant, complexity;, computational, data;, DETECTION, embedded, EMBEDDING, fingerprinting;, group-based, image, joint, multimedia, of, Security, subsegment, systems;, technique;, techniques;},
	isbn = {1556-6013},
	doi = {10.1109/TIFS.2006.873597},
	author = {He,Shan and M. Wu}
}
@conference {18227,
	title = {Improving collusion resistance of error correcting code based multimedia fingerprinting},
	booktitle = {Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP {\textquoteright}05). IEEE International Conference on},
	volume = {2},
	year = {2005},
	month = {2005/03//},
	pages = {ii/1029 - ii/1032 Vol. 2 - ii/1029 - ii/1032 Vol. 2},
	abstract = {Digital fingerprinting protects multimedia content from illegal redistribution by uniquely marking copies of the content distributed to each user. Collusion is a powerful attack whereby several differently fingerprinted copies of the same content are combined together to attenuate or remove the fingerprints. Focusing on the error correction code (ECC) based fingerprinting, we explore in this paper new avenues that can substantially improve its collusion resistance, and in the mean time retain its advantages in detection complexity and fast distribution. Our analysis suggests a great need of jointly considering the coding, embedding, and detection issues, and inspires the proposed technique of permuted subsegment embedding that is able to substantially improve the collusion resistance of ECC based fingerprinting.},
	keywords = {based, code, codes;, coding;, collusion, correcting, correction, data;, detection;, digital, ECC;, embedding;, error, fingerprint, fingerprinting, fingerprinting;, multimedia, of, permuted, resistance;, Security, signatures;, subsegment, systems;},
	doi = {10.1109/ICASSP.2005.1415583},
	author = {He,Shan and M. Wu}
}
@conference {15600,
	title = {A new approach to image fusion based on cokriging},
	booktitle = {Information Fusion, 2005 8th International Conference on},
	volume = {1},
	year = {2005},
	month = {2005/07//},
	pages = {8 pp. - 8 pp.},
	abstract = {We consider the image fusion problem involving remotely sensed data. We introduce cokriging as a method to perform fusion. We investigate the advantages of fusing Hyperion with ALI. This evaluation is performed by comparing the classification of the fused data with that of input images and by calculating well-chosen quantitative fusion quality metrics. We consider the invasive species forecasting system (ISFS) project as our fusion application. The fusion of ALI with Hyperion data is studied using PCA and wavelet-based fusion. We then propose utilizing a geostatistical based interpolation method called cokriging as a new approach for image fusion.},
	keywords = {ALI;, analysis;, based, cokriging;, component, data;, forecasting, fusion, fusion;, geophysical, geostatistical, Hyperion, image, Interpolation, interpolation;, invasive, ISFS, method;, metrics;, PCA;, principal, processing;, project;, QUALITY, quantitative, remote, remotely, sensed, sensing;, sensor, sensors;, signal, species, system;, techniques;, transforms;, wavelet, wavelet-based},
	doi = {10.1109/ICIF.2005.1591912},
	author = {Memarsadeghi,N. and Le Moigne,J. and Mount, Dave and Morisette,J.}
}
@article {18180,
	title = {Collusion-resistant fingerprinting for multimedia},
	journal = {Signal Processing Magazine, IEEE},
	volume = {21},
	year = {2004},
	month = {2004/03//},
	pages = {15 - 27},
	abstract = {Digital fingerprinting is a technology for enforcing digital rights policies whereby unique labels, known as digital fingerprints, are inserted into content prior to distribution. For multimedia content, fingerprints can be embedded using conventional watermarking techniques that are typically concerned with robustness against a variety of attacks mounted by an individual. These attacks, known as multiuser collusion attacks, provide a cost-effective method for attenuating each of the colluder{\textquoteright}s fingerprints and poses a real threat to protecting media data and enforcing usage policies. In this article, we review some major design methodologies for collusion-resistant fingerprinting of multimedia and highlight common and unique issues of different fingerprinting techniques. It also provides detailed discussions on the two major classes of fingerprinting strategies, namely, orthogonal fingerprinting and correlated fingerprinting.},
	keywords = {attacks;, colluder, collusion, collusion-resistant, content;, correlated, data;, digital, fingerprinting;, identification;, multimedia, multiuser, of, orthogonal, policies;, rights, Security, systems;, techniques;, tracing;, watermarking, watermarking;},
	isbn = {1053-5888},
	doi = {10.1109/MSP.2004.1276103},
	author = {M. Wu and Trappe,W. and Wang,Z.J. and Liu,K. J.R}
}
@conference {12288,
	title = {Slurpie: a cooperative bulk data transfer protocol},
	booktitle = {INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies},
	volume = {2},
	year = {2004},
	month = {2004/03//},
	pages = {941 - 951 vol.2 - 941 - 951 vol.2},
	abstract = {We present Slurpie: a peer-to-peer protocol for bulk data transfer. Slurpie is specifically designed to reduce client download times for large, popular files, and to reduce load on servers that serve these files. Slurpie employs a novel adaptive downloading strategy to increase client performance, and employs a randomized backoff strategy to precisely control load on the server. We describe a full implementation of the Slurpie protocol, and present results from both controlled local-area and wide-area testbeds. Our results show that Slurpie clients improve performance as the size of the network increases, and the server is completely insulated from large flash crowds entering the Slurpie network.},
	keywords = {adaptive, bulk, client-server, clients;, computing;, cooperative, data, data;, downloading, network;, peer-to-peer, protocol;, protocols;, Slurpie, strategy;, systems;, transfer, transport},
	doi = {10.1109/INFCOM.2004.1356981},
	author = {Sherwood,R. and Braud,R. and Bhattacharjee, Bobby}
}
@conference {15029,
	title = {Strategies for exploring large scale data},
	booktitle = {Parallel Architectures, Algorithms and Networks, 2004. Proceedings. 7th International Symposium on},
	year = {2004},
	month = {2004/05//},
	pages = {2 - 2},
	abstract = {We consider the problem of querying large scale multidimensional time series data to discover events of interest, test and validate hypotheses, or to associate temporal patterns with specific events. This type of data currently dominates most other types of available data, and will very likely become even more prevalent in the future given the current trends in collecting time series of business, scientific, demographic, and simulation data. The ability to explore such collections interactively, even at a coarse level, will be critical in discovering the information and knowledge embedded in such collections. We develop indexing techniques and search algorithms to efficiently handle temporal range value querying of multidimensional time series data. Our indexing uses linear space data structures that enable the handling of queries in I/O time that is essentially the same as that of handling a single time slice, assuming the availability of a logarithmic number of processors as a function of the temporal window. A data structure with provably almost optimal asymptotic bounds is also presented for the case when the number of multidimensional objects is relatively small. These techniques improve significantly over standard techniques for either serial or parallel processing, and are evaluated by extensive experimental results that confirm their superior performance.},
	keywords = {algorithms;, association;, asymptotic, bounds;, business, data, data;, database, databases;, demographic, discovery;, Indexing, indexing;, information, knowledge, large, linear, mining;, multidimensional, objects;, optimal, Parallel, pattern, processing;, query, querying;, range, scale, scientific, search, serial, series, series;, simulation, space, structure;, structures;, techniques;, temporal, TIME, value, very, window;},
	doi = {10.1109/ISPAN.2004.1300447},
	author = {JaJa, Joseph F.}
}
@article {18437,
	title = {Susceptibility matrix: a new aid to software auditing},
	journal = {Security Privacy, IEEE},
	volume = {2},
	year = {2004},
	month = {2004/04//mar},
	pages = {16 - 21},
	abstract = {Testing for security is lengthy, complex, and costly, so focusing test efforts in areas that have the greatest number of security vulnerabilities is essential. This article describes a taxonomy-based approach that gives an insight into the distribution of vulnerabilities in a system.},
	keywords = {approach;, auditing;, data;, matrix;, of, program, Security, software, susceptibility, taxonomy-based, testing;, vulnerabilities;},
	isbn = {1540-7993},
	doi = {10.1109/MSECP.2004.1281240},
	author = {Jiwnani,K. and Zelkowitz, Marvin V}
}
@conference {12729,
	title = {Activity recognition using the dynamics of the configuration of interacting objects},
	booktitle = {Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on},
	volume = {2},
	year = {2003},
	month = {2003/06//},
	pages = {II - 633-40 vol.2 - II - 633-40 vol.2},
	abstract = {Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very low resolution video where the moving objects are small enough to be modeled as point objects in a 2D plane. Instead of tracking each point separately, we propose to model an activity by the polygonal {\textquoteright}shape{\textquoteright} of the configuration of these point masses at any time t, and its deformation over time. We learn the mean shape and the dynamics of the shape change using hand-picked location data (no observation noise) and define an abnormality detection statistic for the simple case of a test sequence with negligible observation noise. For the more practical case where observation (point locations) noise is large and cannot be ignored, we use a particle filter to estimate the probability distribution of the shape given the noisy observations up to the current time. Abnormality detection in this case is formulated as a change detection problem. We propose a detection strategy that can detect both {\textquoteright}drastic{\textquoteright} and {\textquoteright}slow{\textquoteright} abnormalities. Our framework can be directly applied for object location data obtained using any type of sensors - visible, radar, infrared or acoustic.},
	keywords = {2D, abnormal, abnormality, abnormality;, acoustic, activity, analysis;, change;, Computer, configuration, configuration;, data;, DETECTION, detection;, distribution;, drastic, dynamics;, event;, filter;, hand-picked, image, infrared, interacting, learning;, location, low, mean, model;, monitoring;, MOTION, moving, noise;, noisy, object, object;, observation, observation;, particle, pattern, plane;, point, polygonal, probability, probability;, problem;, processing;, radar, recognition;, resolution, sensor;, sensors;, sequence;, SHAPE, shape;, signal, slow, statistic;, strategy;, Surveillance, surveillance;, target, test, tracking;, video, video;, visible, vision;},
	doi = {10.1109/CVPR.2003.1211526},
	author = {Vaswani, N. and RoyChowdhury, A. and Chellapa, Rama}
}
@article {18167,
	title = {Anti-collusion fingerprinting for multimedia},
	journal = {Signal Processing, IEEE Transactions on},
	volume = {51},
	year = {2003},
	month = {2003/04//},
	pages = {1069 - 1087},
	abstract = {Digital fingerprinting is a technique for identifying users who use multimedia content for unintended purposes, such as redistribution. These fingerprints are typically embedded into the content using watermarking techniques that are designed to be robust to a variety of attacks. A cost-effective attack against such digital fingerprints is collusion, where several differently marked copies of the same content are combined to disrupt the underlying fingerprints. We investigate the problem of designing fingerprints that can withstand collusion and allow for the identification of colluders. We begin by introducing the collusion problem for additive embedding. We then study the effect that averaging collusion has on orthogonal modulation. We introduce a tree-structured detection algorithm for identifying the fingerprints associated with K colluders that requires O(Klog(n/K)) correlations for a group of n users. We next develop a fingerprinting scheme based on code modulation that does not require as many basis signals as orthogonal modulation. We propose a new class of codes, called anti-collusion codes (ACCs), which have the property that the composition of any subset of K or fewer codevectors is unique. Using this property, we can therefore identify groups of K or fewer colluders. We present a construction of binary-valued ACC under the logical AND operation that uses the theory of combinatorial designs and is suitable for both the on-off keying and antipodal form of binary code modulation. In order to accommodate n users, our code construction requires only O( radic;n) orthogonal signals for a given number of colluders. We introduce three different detection strategies that can be used with our ACC for identifying a suspect set of colluders. We demonstrate the performance of our ACC for fingerprinting multimedia and identifying colluders through experiments using Gaussian signals and real images.},
	keywords = {(mathematics);, additive, algorithm;, and, anti-collusion, attack;, averaging, binary, code, codes;, codevectors;, coding;, colluders, collusion;, combinatorial, communication;, compression;, correlation;, cost-effective, data, data;, design, DETECTION, detection;, digital, embedding;, fingerprinting;, Gaussian, identification;, image, images;, keying;, logical, mathematics;, Modulation, modulation;, multimedia, multimedia;, of, on-off, operation;, orthogonal, processes;, real, redistribution;, Security, signal, signals;, theory;, tree-structured, TREES, watermarking;},
	isbn = {1053-587X},
	doi = {10.1109/TSP.2003.809378},
	author = {Trappe,W. and M. Wu and Wang,Z.J. and Liu,K. J.R}
}
@conference {18169,
	title = {Anti-collusion of group-oriented fingerprinting},
	booktitle = {Multimedia and Expo, 2003. ICME {\textquoteright}03. Proceedings. 2003 International Conference on},
	volume = {2},
	year = {2003},
	month = {2003/07//},
	pages = {II - 217-20 vol.2 - II - 217-20 vol.2},
	abstract = {Digital fingerprinting of multimedia data involves embedding information in the content, and offers protection to the digital rights of the content by allowing illegitimate usage of the content to be identified by authorized parties. One potential threat to fingerprints is collusion, whereby a group of adversaries combine their individual copies in an attempt to remove the underlying fingerprints. Former studies indicate that collusion attacks based on a few dozen independent copies can confound a fingerprinting system that employs orthogonal modulation. However, since an adversary is more likely to collude with some users than other users, we propose a group-based fingerprinting scheme where users likely to collude with each other are assigned correlated fingerprints. We evaluate the performance of our group-based fingerprints by studying the collusion resistance of a fingerprinting system employing Gaussian distributed fingerprints. We compare the results to those of fingerprinting systems employing orthogonal modulation.},
	keywords = {anticollusion, attacks;, collusion, communication;, data;, digital, distributed, distribution;, fingerprinting;, fingerprints;, Gaussian, group-oriented, Internet;, method;, modulation;, multimedia, orthogonal, security;, Telecommunication, watermarking;},
	doi = {10.1109/ICME.2003.1221592},
	author = {Wang,Z.J. and M. Wu and Trappe,W. and Liu,K. J.R}
}
@article {12301,
	title = {Deno: a decentralized, peer-to-peer object-replication system for weakly connected environments},
	journal = {Computers, IEEE Transactions on},
	volume = {52},
	year = {2003},
	month = {2003/07//},
	pages = {943 - 959},
	abstract = {This paper presents the design, implementation, and evaluation of the replication framework of Deno, a decentralized, peer-to-peer object-replication system targeted for weakly connected environments. Deno uses weighted voting for availability and pair-wise, epidemic information flow for flexibility. This combination allows the protocols to operate with less than full connectivity, to easily adapt to changes in group membership, and to make few assumptions about the underlying network topology. We present two versions of Deno{\textquoteright}s protocol that differ in the consistency levels they support. We also propose security extensions to handle a class of malicious actions that involve misrepresentation of protocol information. Deno has been implemented and runs on top of Linux and Win32 platforms. We use the Deno prototype to characterize the performance of the Deno protocols and extensions. Our study reveals several interesting results that provide fundamental insight into the benefits of decentralization and the mechanics of epidemic protocols.},
	keywords = {actions;, connected, consistency, data, data;, databases;, decentralized, Deno;, distributed, environments;, epidemic, group, levels;, Linux;, malicious, management;, membership;, network, object, object-replication, of, operating, peer-to-peer, protocols;, replicated, replication;, Security, security;, synchronisation;, system;, systems;, topology;, Unix;, voting;, weakly, weighted, Win32;},
	isbn = {0018-9340},
	doi = {10.1109/TC.2003.1214342},
	author = {Cetintemel,U. and Keleher,P. J and Bhattacharjee, Bobby and Franklin,M.J.}
}
@article {18234,
	title = {Joint security and robustness enhancement for quantization based data embedding},
	journal = {Circuits and Systems for Video Technology, IEEE Transactions on},
	volume = {13},
	year = {2003},
	month = {2003/08//},
	pages = {831 - 841},
	abstract = {The paper studies joint security and robustness enhancement of quantization-based data embedding for multimedia authentication applications. We present an analysis showing that through a nontrivial run lookup table (LUT) that maps quantized multimedia features randomly to binary data, the probability of detection error can be considerably smaller than the traditional quantization embedding. We quantify the security strength of LUT embedding and enhance its robustness through distortion compensation. Introducing a joint security and capacity measure, we show that the proposed distortion-compensated LUT embedding provides joint enhancement of security and robustness over the traditional quantization embedding.},
	keywords = {(signal);, authentication;, binary, compensation;, data, data;, DETECTION, digital, distortion, distortion;, embedding;, encapsulation;, enhancement;, error, features;, hiding;, lookup, lookup;, LUT;, message, multimedia, nontrivial, probability;, quantisation, quantization, quantized, Robustness, run, Security, statistics;, systems;, table, table;, watermarking;},
	isbn = {1051-8215},
	doi = {10.1109/TCSVT.2003.815951},
	author = {Wu,M.}
}
@conference {18235,
	title = {Joint security robustness enhancement for quantization embedding},
	booktitle = {Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on},
	volume = {2},
	year = {2003},
	month = {2003/09//},
	pages = {II - 483-6 vol.3 - II - 483-6 vol.3},
	abstract = {This paper studies joint security and robustness enhancement of quantization based data embedding for multimedia authentication applications. We present analysis showing that through a lookup table (LUT) of nontrivial run that maps quantized multimedia features randomly to binary data, the detection error probability can be considerably smaller than the traditional quantization embedding. We quantify the security strength of LUT embedding and enhance its robustness through distortion compensation. Introducing a joint security and capacity measure, we show that the proposed distortion compensated LUT embedding provides joint enhancement of security and robustness over the traditional quantization embedding.},
	keywords = {applications;, Authentication, authentication;, binary, communication;, data, data;, embedding;, error, joint, lookup, lookup;, message, multimedia, probability;, security;, statistics;, table, table;, watermarking;},
	doi = {10.1109/ICIP.2003.1246722},
	author = {Wu,M.}
}
@conference {18266,
	title = {Resistance of orthogonal Gaussian fingerprints to collusion attacks},
	booktitle = {Multimedia and Expo, 2003. ICME {\textquoteright}03. Proceedings. 2003 International Conference on},
	volume = {1},
	year = {2003},
	month = {2003/07//},
	pages = {I - 617-20 vol.1 - I - 617-20 vol.1},
	abstract = {Digital fingerprinting is a means to offer protection to digital data by which fingerprints embedded in the multimedia are capable of identifying unauthorized use of digital content. A powerful attack that can be employed to reduce this tracing capability is collusion. In this paper, we study the collusion resistance of a fingerprinting system employing Gaussian distributed fingerprints and orthogonal modulation. We propose a likelihood-based approach to estimate the number of colluders, and introduce the thresholding detector for colluder identification. We first analyze the collusion resistance of a system to the average attack by considering the probability of a false negative and the probability of a false positive when identifying colluders. Lower and upper bounds for the maximum number of colluders K<sub>max</sub> are derived. We then show that the detectors are robust to different attacks. We further study different sets of performance criteria.},
	keywords = {approach;, attacks;, capability;, collusion, data, data;, digital, distributed, embedded, fingerprinting;, fingerprints;, Gaussian, likelihood-based, modulation;, multimedia, of, orthogonal, probability;, processes;, protection;, Security, systems;, tracing},
	doi = {10.1109/ICME.2003.1220993},
	author = {Wang,Z.J. and M. Wu and Zhao,Hong and Liu,K. J.R and Trappe,W.}
}
@conference {12733,
	title = {Statistical shape theory for activity modeling},
	booktitle = {Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP {\textquoteright}03). 2003 IEEE International Conference on},
	volume = {3},
	year = {2003},
	month = {2003/04//},
	pages = {III - 493-6 vol.3 - III - 493-6 vol.3},
	abstract = {Monitoring activities in a certain region from video data is an important surveillance problem. The goal is to learn the pattern of normal activities and detect unusual ones by identifying activities that deviate appreciably from the typical ones. We propose an approach using statistical shape theory based on the shape model of D.G. Kendall et al. (see "Shape and Shape Theory", John Wiley and Sons, 1999). In a low resolution video, each moving object is best represented as a moving point mass or particle. In this case, an activity can be defined by the interactions of all or some of these moving particles over time. We model this configuration of the particles by a polygonal shape formed from the locations of the points in a frame and the activity by the deformation of the polygons in time. These parameters are learned for each typical activity. Given a test video sequence, an activity is classified as abnormal if the probability for the sequence (represented by the mean shape and the dynamics of the deviations), given the model, is below a certain threshold The approach gives very encouraging results in surveillance applications using a single camera and is able to identify various kinds of abnormal behavior.},
	keywords = {abnormal, activities, activity, analysis;, behavior;, classification;, data;, image, mass;, matching;, modeling;, monitoring;, moving, normal, particle;, pattern, pattern;, point, polygonal, probability;, problem;, processing;, sequence;, sequences;, SHAPE, shape;, signal, statistical, Surveillance, surveillance;, theory;, video},
	doi = {10.1109/ICASSP.2003.1199519},
	author = {Vaswani, N. and Chowdhury, A.R. and Chellapa, Rama}
}
@conference {12735,
	title = {Video synthesis of arbitrary views for approximately planar scenes},
	booktitle = {Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP {\textquoteright}03). 2003 IEEE International Conference on},
	volume = {3},
	year = {2003},
	month = {2003/04//},
	pages = {III - 497-500 vol.3 - III - 497-500 vol.3},
	abstract = {In this paper, we propose a method to synthesize arbitrary views of a planar scene, given a monocular video sequence. The method is based on the availability of knowledge of the angle between the original and synthesized views. Such a method has many important applications, one of them being gait recognition. Gait recognition algorithms rely on the availability of an approximate side-view of the person. From a realistic viewpoint, such an assumption is impractical in surveillance applications and it is of interest to develop methods to synthesize a side view of the person, given an arbitrary view. For large distances from the camera, a planar approximation for the individual can be assumed. In this paper, we propose a perspective projection approach for recovering the direction of motion of the person purely from the video data, followed by synthesis of a new video sequence at a different angle. The algorithm works purely in the image and video domain, though 3D structure plays an implicit role in its theoretical justification. Examples of synthesized views using our method and performance evaluation are presented.},
	keywords = {(access, 3D, applications;, approach;, approximately, approximation;, arbitrary, Biometrics, control);, data;, direction, estimation;, evaluation;, Gait, image, monocular, MOTION, performance, perspective, planar, processing;, projection, recognition;, recovery;, scenes;, sequence;, sequences;, side, signal, structure;, Surveillance, surveillance;, synthesis;, synthesized, video, view, views;},
	doi = {10.1109/ICASSP.2003.1199520},
	author = {Chowdhury, A.K.R. and Kale, A. and Chellapa, Rama}
}
@conference {14961,
	title = {Efficient techniques for range search queries on earth science data},
	booktitle = {Scientific and Statistical Database Management, 2002. Proceedings. 14th International Conference on},
	year = {2002},
	month = {2002///},
	pages = {142 - 151},
	abstract = {We consider the problem of organizing large scale earth science raster data to efficiently handle queries for identifying regions whose parameters fall within certain range values specified by the queries. This problem seems to be critical to enabling basic data mining tasks such as determining associations between physical phenomena and spatial factors, detecting changes and trends, and content based retrieval. We assume that the input is too large to fit in internal memory and hence focus on data structures and algorithms that minimize the I/O bounds. A new data structure, called a tree-of-regions (ToR), is introduced and involves a combination of an R-tree and efficient representation of regions. It is shown that such a data structure enables the handling of range queries in an optimal I/O time, under certain reasonable assumptions. We also show that updates to the ToR can be handled efficiently. Experimental results for a variety of multi-valued earth science data illustrate the fast execution times of a wide range of queries, as predicted by our theoretical analysis.},
	keywords = {based, computing;, content, data, data;, databases;, Earth, factors;, large, mining, mining;, natural, processing;, queries;, query, range, raster, retrieval;, scale, Science, sciences, search, spatial, structures;, tasks;, temporal, tree, tree-of-regions;, visual},
	doi = {10.1109/SSDM.2002.1029714},
	author = {Shi,Qingmin and JaJa, Joseph F.}
}
@article {12752,
	title = {A generic approach to simultaneous tracking and verification in video},
	journal = {Image Processing, IEEE Transactions on},
	volume = {11},
	year = {2002},
	month = {2002/05//},
	pages = {530 - 544},
	abstract = {A generic approach to simultaneous tracking and verification in video data is presented. The approach is based on posterior density estimation using sequential Monte Carlo methods. Visual tracking, which is in essence a temporal correspondence problem, is solved through probability density propagation, with the density being defined over a proper state space characterizing the object configuration. Verification is realized through hypothesis testing using the estimated posterior density. In its most basic form, verification can be performed as follows. Given a measurement vector Z and two hypotheses H<sub>1</sub> and H0, we first estimate posterior probabilities P(H<sub>0</sub>|Z) and P(H<sub>1</sub>|Z), and then choose the one with the larger posterior probability as the true hypothesis. Several applications of the approach are illustrated by experiments devised to evaluate its performance. The idea is first tested on synthetic data, and then experiments with real video sequences are presented, illustrating vehicle tracking and verification, human (face) tracking and verification, facial feature tracking, and image sequence stabilization.},
	keywords = {approach;, Carlo, configuration;, correspondence, data;, density, density;, estimated, estimation;, evaluation;, extraction;, Face, facial, feature, generic, human, hypothesis, image, measurement, methods;, Monte, object, performance, posterior, probability, probability;, problem;, processing;, propagation;, recognition;, road, sequence, sequences;, sequential, signal, space;, stabilization;, state, synthetic, temporal, testing;, tracking;, vector;, vehicle, vehicles;, verification;, video, visual},
	isbn = {1057-7149},
	doi = {10.1109/TIP.2002.1006400},
	author = {Li,Baoxin and Chellapa, Rama}
}
@conference {18400,
	title = {Maintaining software with a security perspective},
	booktitle = {Software Maintenance, 2002. Proceedings. International Conference on},
	year = {2002},
	month = {2002///},
	pages = {194 - 203},
	abstract = {Testing for software security is a lengthy, complex and costly process. Currently, security testing is done using penetration analysis and formal verification of security kernels. These methods are not complete and are difficult to use. Hence it is essential to focus testing effort in areas that have a greater number of security vulnerabilities to develop secure software as well as meet budget and time constraints. We propose a testing strategy based on a classification of vulnerabilities to develop secure and stable systems. This taxonomy will enable a system testing and maintenance group to understand the distribution of security vulnerabilities and prioritize their testing effort according to the impact the vulnerabilities have on the system. This is based on Landwehr{\textquoteright}s (1994) classification scheme for security flaws and we evaluated it using a database of 1360 operating system vulnerabilities. This analysis indicates vulnerabilities tend to be focused in relatively few areas and associated with a small number of software engineering issues.},
	keywords = {(computers);, budget, classification, classification;, constraints;, data;, engineering;, flaw, maintenance;, of, operating, program, scheme;, Security, software, stable, system, systems, systems;, testing;, TIME, vulnerabilities;, vulnerability},
	doi = {10.1109/ICSM.2002.1167766},
	author = {Jiwnani,K. and Zelkowitz, Marvin V}
}
@article {18272,
	title = {Rotation, scale, and translation resilient watermarking for images},
	journal = {Image Processing, IEEE Transactions on},
	volume = {10},
	year = {2001},
	month = {2001/05//},
	pages = {767 - 782},
	abstract = {Many electronic watermarks for still images and video content are sensitive to geometric distortions. For example, simple rotation, scaling, and/or translation (RST) of an image can prevent blind detection of a public watermark. In this paper, we propose a watermarking algorithm that is robust to RST distortions. The watermark is embedded into a one-dimensional (1-D) signal obtained by taking the Fourier transform of the image, resampling the Fourier magnitudes into log-polar coordinates, and then summing a function of those magnitudes along the log-radius axis. Rotation of the image results in a cyclical shift of the extracted signal. Scaling of the image results in amplification of the extracted signal, and translation of the image has no effect on the extracted signal. We can therefore compensate for rotation with a simple search, and compensate for scaling by using the correlation coefficient as the detection measure. False positive results on a database of 10 000 images are reported. Robustness results on a database of 2000 images are described. It is shown that the watermark is robust to rotation, scale, and translation. In addition, we describe tests examining the watermarks resistance to cropping and JPEG compression},
	keywords = {axis;one-dimensional, coding;security, coefficient;cropping;cyclical, compression;RST, coordinates;log-radius, data;, detection;correlation, distortions;blind, distortions;images;log-polar, encapsulation;image, Fourier, images;translation, magnitudes;Fourier, measure;geometric, of, protection;data, resilient, shift;detection, signal;public, transform;JPEG, transforms;copy, watermark;resampling;rotation;scale;search;still, watermarking;video;Fourier},
	isbn = {1057-7149},
	doi = {10.1109/83.918569},
	author = {Lin,C.-Y. and Wu,M. and Bloom,J.A. and Cox,I.J. and Miller,M.L. and Lui,Y.M.}
}
@conference {18292,
	title = {What can we reasonably expect from watermarks?},
	booktitle = {Applications of Signal Processing to Audio and Acoustics, 2001 IEEE Workshop on the},
	year = {2001},
	month = {2001///},
	pages = {223 - 226},
	abstract = {Digital watermarking has been positioned as a solution to copyright protection of digital music, and some doubt exists about its ability to perform in this regard. A survey of watermarking applications assesses the technology{\textquoteright}s potential for copy protection, as well as other digital audio applications},
	keywords = {applications;audio, applications;digital, audio, coding;copy, data;, databases;music, hashing;steganography;watermarking, music;digital, of, protection;copyright, protection;copyright;music;security, protection;digital, watermarking;copy, watermarking;forensic, watermarking;music},
	doi = {10.1109/ASPAA.2001.969583},
	author = {Craver,S.A. and M. Wu and Liu,B.}
}
@conference {18192,
	title = {Data hiding in digital binary image},
	booktitle = {Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on},
	volume = {1},
	year = {2000},
	month = {2000///},
	pages = {393 -396 vol.1 - 393 -396 vol.1},
	abstract = {This paper proposes a new method to embed data in binary images, including scanned text, figures and signatures. The method manipulates ldquo;flippable rdquo; pixels and uses shuffling to embed a significant amount of data without causing noticeable artifacts. The extraction of the hidden data does not require the original image. Potential applications include detecting unauthorized use of a digitized signature and authenticating binary documents},
	keywords = {authentication;data, binary, data;, document, encapsulation;image, hiding;digital, image;digital, of, pixels;multimedia;scanned, processing;multimedia, signature;flippable, systems;security, text;shuffling;data, watermarking;digitized},
	doi = {10.1109/ICME.2000.869623},
	author = {M. Wu and Tang,E. and Lin, B.}
}
