@article {19028,
	title = {Cloud Data Protection for the Masses},
	journal = {Computer},
	volume = {45},
	year = {2012},
	month = {2012},
	pages = {39 - 45},
	abstract = {Offering strong data protection to cloud users while enabling rich applications is a challenging task. Researchers explore a new cloud platform architecture called Data Protection as a Service, which dramatically reduces the per-application development effort required to offer data protection, while still allowing rapid development and maintenance.},
	keywords = {Cloud computing, cloud data protection, cloud platform architecture, cloud users, Maintenance, rapid development, security of data, strong data protection},
	isbn = {0018-9162},
	author = {Song,D. and Elaine Shi and Fischer, I. and Shankar,U.}
}
@conference {19599,
	title = {Dynamic Searchable Symmetric Encryption},
	booktitle = {CCS {\textquoteright}12 Proceedings of the 2012 ACM Conference on Computer and Communications Security },
	series = {CCS {\textquoteright}12},
	year = {2012},
	month = {2012///},
	pages = {965 - 976},
	publisher = {ACM},
	organization = {ACM},
	abstract = {Searchable symmetric encryption (SSE) allows a client to encrypt its data in such a way that this data can still be searched. The most immediate application of SSE is to cloud storage, where it enables a client to securely outsource its data to an untrusted cloud provider without sacrificing the ability to search over it. SSE has been the focus of active research and a multitude of schemes that achieve various levels of security and efficiency have been proposed. Any practical SSE scheme, however, should (at a minimum) satisfy the following properties: sublinear search time, security against adaptive chosen-keyword attacks, compact indexes and the ability to add and delete files efficiently. Unfortunately, none of the previously-known SSE constructions achieve all these properties at the same time. This severely limits the practical value of SSE and decreases its chance of deployment in real-world cloud storage systems. To address this, we propose the first SSE scheme to satisfy all the properties outlined above. Our construction extends the inverted index approach (Curtmola et al., CCS 2006) in several non-trivial ways and introduces new techniques for the design of SSE. In addition, we implement our scheme and conduct a performance evaluation, showing that our approach is highly efficient and ready for deployment.},
	keywords = {Cloud computing, cloud storage, searchable symmetric encryption},
	isbn = {978-1-4503-1651-4},
	url = {http://doi.acm.org/10.1145/2382196.2382298},
	author = {Kamara, Seny and Charalampos Papamanthou and Roeder, Tom}
}
@conference {19489,
	title = {Cloud software upgrades: Challenges and opportunities},
	booktitle = {2011 International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA) },
	year = {2011},
	month = {2011///},
	pages = {1 - 10},
	abstract = {The fast evolution pace for cloud computing software is on a collision course with our growing reliance on cloud computing. On one hand, cloud software must have the agility to evolve rapidly, in order to remain competitive; on the other hand, more and more critical services become dependent on the cloud and demand high availability through firm Service Level Agreements (SLAs) for cloud infrastructures. This race between the needs to increase both the cloud upgrade frequency and the service availability is unsustainable. In this paper we highlight challenges and opportunities for upgrades in the cloud. We survey the release histories of several cloud applications to analyze their evolution pace, and we discuss the shortcomings with current cloud upgrade mechanisms. We outline several solutions for sustaining this evolution while improving availability, by focusing on the novel characteristics of cloud computing. By discussing several promising directions for realizing this vision, we propose a research agenda for the future of software upgrades in the cloud.},
	keywords = {Availability, Cloud computing, cloud computing software, cloud upgrade frequency, collision course, Electronic publishing, Encyclopedias, service level agreement, service-oriented architecture},
	author = {Neamtiu, I. and Tudor Dumitras}
}
@conference {19026,
	title = {Authentication in the clouds: a framework and its application to mobile users},
	series = {CCSW {\textquoteright}10},
	year = {2010},
	month = {2010},
	pages = {1 - 6},
	publisher = {ACM},
	organization = {ACM},
	abstract = {Cloud computing is a natural fit for mobile security. Typical handsets have input constraints and practical computational and power limitations, which must be respected by mobile security technologies in order to be effective. We describe how cloud computing can address these issues. Our approach is based on a flexible framework for supporting authentication decisions we call TrustCube (to manage the authentication infrastructure) and on a behavioral authentication approach referred to as implicit authentication (to translate user behavior into authentication scores). The combination results in a new authentication paradigm for users of mobile technologies, one where an appropriate balance between usability and trust can be managed through flexible policies and dynamic tuning.},
	keywords = {Authentication, Cloud computing, Mobile computing},
	isbn = {978-1-4503-0089-6},
	url = {http://doi.acm.org/10.1145/1866835.1866837},
	author = {Chow, Richard and Jakobsson, Markus and Masuoka, Ryusuke and Molina,Jesus and Niu, Yuan and Elaine Shi and Song,Zhexuan}
}
@conference {13086,
	title = {Web-scale computer vision using MapReduce for multimedia data mining},
	booktitle = {Proceedings of the Tenth International Workshop on Multimedia Data Mining},
	series = {MDMKDD {\textquoteright}10},
	year = {2010},
	month = {2010///},
	pages = {9:1{\textendash}9:10 - 9:1{\textendash}9:10},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {This work explores computer vision applications of the MapReduce framework that are relevant to the data mining community. An overview of MapReduce and common design patterns are provided for those with limited MapReduce background. We discuss both the high level theory and the low level implementation for several computer vision algorithms: classifier training, sliding windows, clustering, bag-of-features, background subtraction, and image registration. Experimental results for the k-means clustering and single Gaussian background subtraction algorithms are performed on a 410 node Hadoop cluster.},
	keywords = {background subtraction, bag-of-features, Cloud computing, clustering, Computer vision, image registration, MapReduce},
	isbn = {978-1-4503-0220-3},
	doi = {10.1145/1814245.1814254},
	url = {http://doi.acm.org/10.1145/1814245.1814254},
	author = {White,Brandyn and Tom Yeh and Jimmy Lin and Davis, Larry S.}
}
@conference {19029,
	title = {Controlling data in the cloud: outsourcing computation without outsourcing control},
	series = {CCSW {\textquoteright}09},
	year = {2009},
	month = {2009},
	pages = {85 - 90},
	publisher = {ACM},
	organization = {ACM},
	abstract = {Cloud computing is clearly one of today{\textquoteright}s most enticing technology areas due, at least in part, to its cost-efficiency and flexibility. However, despite the surge in activity and interest, there are significant, persistent concerns about cloud computing that are impeding momentum and will eventually compromise the vision of cloud computing as a new IT procurement model. In this paper, we characterize the problems and their impact on adoption. In addition, and equally importantly, we describe how the combination of existing research thrusts has the potential to alleviate many of the concerns impeding adoption. In particular, we argue that with continued research advances in trusted computing and computation-supporting encryption, life in the cloud can be advantageous from a business intelligence standpoint over the isolated alternative that is more common today.},
	keywords = {Cloud computing, privacy, Security},
	isbn = {978-1-60558-784-4},
	url = {http://doi.acm.org/10.1145/1655008.1655020},
	author = {Chow, Richard and Golle, Philippe and Jakobsson, Markus and Elaine Shi and Staddon, Jessica and Masuoka, Ryusuke and Molina,Jesus}
}
