@conference {18654,
	title = {An empirical study of filesystem activity following a SSH compromise},
	year = {2007},
	month = {2007/12//},
	pages = {1 - 5},
	abstract = {Monitoring filesystem data is a common method used to detect attacks. Once a computer is compromised, attackers will likely alter files, add new files or delete existing files. The changes that attackers make may target any part of the filesystem, including metadata along with files (e.g., permissions, ownerships and inodes). In this paper, we describe an empirical study that focused on SSH compromised attacks. First statistical data on the number of files targeted and the associated activity (e.g., read, write, delete, ownership and rights) is reported. Then, we refine the analysis to identify and understand patterns in the attack activity.},
	keywords = {attack activity, filesystem activity, filesystem data monitoring, intrusion detection systems evaluation, meta data, metadata, security of data, SSH compromised attacks},
	doi = {10.1109/ICICS.2007.4449675},
	author = {Molina,J. and Gordon,J. and Chorin,X. and Michel Cukier}
}
@conference {17007,
	title = {Categorizing web search results into meaningful and stable categories using fast-feature techniques},
	booktitle = {Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries},
	series = {JCDL {\textquoteright}06},
	year = {2006},
	month = {2006///},
	pages = {210 - 219},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {When search results against digital libraries and web resources have limited metadata, augmenting them with meaningful and stable category information can enable better overviews and support user exploration. This paper proposes six fast-feature techniques that use only features available in the search result list, such as title, snippet, and URL, to categorize results into meaningful categories. They use credible knowledge resources, including a US government organizational hierarchy, a thematic hierarchy from the Open Directory Project (ODP) web directory, and personal browse histories, to add valuable metadata to search results. In three tests the percent of results categorized for five representative queries was high enough to suggest practical benefits: general web search (76-90\%), government web search (39-100\%), and the Bureau of Labor Statistics website (48-94\%). An additional test submitted 250 TREC queries to a search engine and successfully categorized 66\% of the top 100 using the ODP and 61\% of the top 350. Fast-feature techniques have been implemented in a prototype search engine. We propose research directions to improve categorization rates and make suggestions about how web site designers could re-organize their sites to support fast categorization of search results.},
	keywords = {Browsing, categorization, classification, metadata, open directory, taxonomies},
	isbn = {1-59593-354-9},
	doi = {10.1145/1141753.1141801},
	url = {http://doi.acm.org/10.1145/1141753.1141801},
	author = {Kules,Bill and Kustanowitz,Jack and Shneiderman, Ben}
}
@conference {16779,
	title = {Integrating distributed scientific data sources with MOCHA and XRoaster},
	booktitle = {Thirteenth International Conference on Scientific and Statistical Database Management, 2001. SSDBM 2001. Proceedings},
	year = {2001},
	month = {2001///},
	pages = {263 - 266},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {MOCHA is a novel middleware system for integrating distributed data sources that we have developed at the University of Maryland. MOCHA is based on the idea that the code that implements user-defined types and functions should be automatically deployed to remote sites by the middleware system itself. To this end, we have developed an XML-based framework to specify metadata about data sites, data sets, and user-defined types and functions. XRoaster is a graphical tool that we have developed to help the user create all the XML metadata elements to be used in MOCHA},
	keywords = {client-server systems, data sets, data sites, Databases, Distributed computing, distributed databases, distributed scientific data source integration, Educational institutions, graphical tool, hypermedia markup languages, IP networks, java, Large-scale systems, Maintenance engineering, meta data, metadata, Middleware, middleware system, MOCHA, Query processing, remote sites, scientific information systems, user-defined types, visual programming, XML, XML metadata elements, XML-based framework, XRoaster},
	isbn = {0-7695-1218-6},
	doi = {10.1109/SSDM.2001.938560},
	author = {Rodriguez-Martinez,M. and Roussopoulos, Nick and McGann,J. M and Kelley,S. and Mokwa,J. and White,B. and Jala,J.}
}
@conference {16466,
	title = {Optimized seamless integration of biomolecular data},
	booktitle = {Proceedings of the IEEE 2nd International Symposium on Bioinformatics and Bioengineering Conference, 2001},
	year = {2001},
	month = {2001/11/04/6},
	pages = {23 - 32},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Today, scientific data is inevitably digitized, stored in a variety of heterogeneous formats, and is accessible over the Internet. Scientists need to access an integrated view of multiple remote or local heterogeneous data sources. They then integrate the results of complex queries and apply further analysis and visualization to support the task of scientific discovery. Building a digital library for scientific discovery requires accessing and manipulating data extracted from flat files or databases, documents retrieved from the Web, as well as data that is locally materialized in warehouses or is generated by software. We consider several tasks to provide optimized and seamless integration of biomolecular data. Challenges to be addressed include capturing and representing source capabilities; developing a methodology to acquire and represent metadata about source contents and access costs; and decision support to select sources and capabilities using cost based and semantic knowledge, and generating low cost query evaluation plans},
	keywords = {analysis, Bioinformatics, biology computing, cost based knowledge, Costs, Data analysis, data mining, data visualisation, Data visualization, Data warehouses, decision support, digital library, Educational institutions, information resources, Internet, low cost query evaluation plans, Mediation, meta data, metadata, molecular biophysics, multiple local heterogeneous data sources, multiple remote heterogeneous data sources, optimized seamless biomolecular data integration, scientific discovery, scientific information systems, semantic knowledge, software libraries, visual databases, Visualization},
	isbn = {0-7695-1423-5},
	doi = {10.1109/BIBE.2001.974408},
	author = {Eckman,B. A and Lacroix,Z. and Raschid, Louiqa}
}
@conference {16188,
	title = {Bringing treasures to the surface: previews and overviews in a prototype for the Library of Congress National Digital Library},
	booktitle = {CHI 98 conference summary on Human factors in computing systems},
	series = {CHI {\textquoteright}98},
	year = {1998},
	month = {1998///},
	pages = {187 - 188},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	keywords = {Browsing, digital libraries, metadata, multimedia, overviews, previews, World Wide Web},
	isbn = {1-58113-028-7},
	doi = {10.1145/286498.286665},
	url = {http://doi.acm.org/10.1145/286498.286665},
	author = {Plaisant, Catherine and Marchionini,Gary and Komlodi,Anita}
}
