DoI: Denial of Information
Center for Experimental Research in Computer Systems and
Georgia Tech Information Security Center,
College of Computing,
Georgia Institute of Technology
Project Summary
As applications enabled by the Internet become information rich, ensuring
access to quality information in the presence of potentially malicious entities
will be a major challenge. The goal of this research project is to develop
defensive techniques to counter denial-of-information (DoI) attacks. Such
attacks attempt to confuse an information system by deliberately introducing
noise that appears to be useful information. The mere availability of
information is insufficient if the user must find a needle in a haystack of
noise that is created by an adversary to hide critical information. The
research focuses on the characterization of information quality metrics that
are relevant in the presence of DoI attacks. In particular, two complementary
metrics are explored. Information regularity captures predictability in the
patterns of information creation and access. The second metric, information
quality trust, captures the known ability of an information source to meet the
needs of its clients. The development of techniques to derive the values of
these metrics for information sources is a key goal of the research. Other
planned research activities include the building of a distributed information
infrastructure and experimental evaluation of defensive techniques against DoI
attacks.
People
Faculty
Students
Alumni
Publications
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S. Webb, J. Caverlee, C. Pu, "Characterizing Web Spam Using Content and HTTP Session Analysis,"
in Proceedings of the Fourth Conference on Email and Anti-Spam (CEAS 2007), August 2-3, 2007, Mountain View, CA.
[ pdf ]
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B. Byun, C. Lee, S. Webb, and C. Pu, "A Discriminative Classifier Learning Approach to Image Modeling and Spam Image Identification,"
in Proceedings of the Fourth Conference on Email and Anti-Spam (CEAS 2007), August 2-3, 2007, Mountain View, CA.
[ pdf ]
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J. Caverlee, S. Webb, and L. Liu, "Spam-Resilient Web Rankings via Influence Throttling,"
in Proceedings of the 21st IEEE International Parallel & Distributed Processing Symposium (IPDPS 2007), March 26-30, 2007, Long Beach, CA.
[ pdf ]
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S. Webb, J. Caverlee, and C. Pu, "Introducing the Webb Spam Corpus: Using Email Spam to Identify Web Spam Automatically,"
in Proceedings of the Third Conference on Email and Anti-Spam (CEAS 2006), July 27-28, 2006, Mountain View, CA.
[ pdf ]
Note: The Webb Spam Corpus can be found here.
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C. Pu and S. Webb, "Observed Trends in Spam Construction Techniques: A Case Study of Spam Evolution,"
in Proceedings of the Third Conference on Email and Anti-Spam (CEAS 2006), July 27-28, 2006, Mountain View, CA.
[ pdf ]
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C. Pu, S. Webb, O. Kolesnikov, W. Lee, and R. Lipton, "Towards the Integration of Diverse Spam Filtering Techniques,"
in Proceedings of the IEEE International Conference on Granular Computing (GrC 2006), May 10-12, 2006, Atlanta, GA.
[ pdf ]
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G. Conti, K. Abdullah, J. Grizzard, J. Stasko, J. Copeland, M. Ahamad, H. Owen, and C. Lee, "Countering Security Analyst and
Network Administrator Overload Through Alert and Packet Visualization," IEEE Computer Graphics and Applications (CG&A), March 2006.
[ pdf ]
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S. Webb, S. Chitti, and C. Pu, "An Experimental Evaluation of Spam Filter Performance and Robustness Against Attack,"
in Proceedings of the 1st International Conference on Collaborative Computing:
Networking, Applications and Worksharing (CollaborateCom 2005), Dec. 19-21, 2005, San Jose, CA.
[ pdf ]
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G. Conti and M. Ahamad, "A Taxonomy and Framework for Countering Denial of Information Attacks," IEEE Security and Privacy, November/December 2005.
[ pdf ]
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G. Conti, J. Grizzard, M. Ahamad, and H. Owen, "Visual Exploration of Malicious Network Objects Using Semantic Zoom, Interactive Encoding and Dynamic Queries,"
in Proceedings of the IEEE Symposium on Information Visualization's Workshop on Visualization for Computer Security (VizSEC), October 26, 2005, Minneapolis, MN.
[ pdf ]