UMBC Center for Architectures for
Data-Driven Information Processing

publicaton areas  - information retrieval  - visualization  - software agents  - intrusion detection

Information Retrieval

Ethan L. Miller, Dan Shen, Junli Liu, and Charles Nicholas (January 2000) Performance and Scalability of a Large-Scale N-gram Based Information Retrieval System. Journal of Digital Information, January 2000. Douglas W. Oard, Jianqiang Wang, Dekang Lin, and Ian Soboroff (November 1999, To appear) TREC-8 Experiments at Maryland: CLIR, QA, and Routing Working notes of the Eighth Text Retrieval Conference, Gaithersburg MD; also presented as a poster. Ian Soboroff and Charles Nicholas (August 1999) Combining Content and Collaboration in Text Filtering Proceedings of the IJCAI'99 Workshop on Machine Learning for Information Filtering, Stockholm, Sweden. Ethan L. Miller, Dan Shen, Junli Liu, Charles Nicholas, and Ting Chen (June 1999) Techniques for Gigabyte-Scale N-gram Based Information Retrieval on Personal Computers Proceedings of the 1999 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA '99), Las Vegas, NV. Ian M. Soboroff (May 1998) Collaborative Filtering with LSI: Experiments with Cranfield UMBC CSEE Technical Report CS-TR-98-01 Claudia Pearce and Ethan Miller (October 1997) The TELLTALE Dynamic Hypertext Environment: Approaches to Scalability in Advances in Intelligent Hypertext, J. Mayfield and C. Nicholas, eds. Lecture Notes in Computer Science, Springer-Verlag. Ethan L. Miller and Randy H. Katz (July 1997) RAMA: An Easy-To-Use, High-Performance Parallel File System Parallel Computing, 23(4) Ed Greengrass has written a comprehensive survey of information retrieval (more than 200 pages!)

Visualization

Christopher D. Shaw, James M. Kukla, Ian Soboroff, David S. Ebert, Charles K. Nicholas, Amen Zwa, Ethan L. Miller, and D. Aaron Roberts. (1999) Interactive Volumetric Information Visualization for Document Corpus Management International Journal on Digital Libraries, vol. 2, issue 2/3, pp. 144-156. Ian M. Soboroff, Charles K. Nicholas, James M. Kukla, David S. Ebert. (November 1997) Visualizing Document Authorship Using N-grams and Latent Semantic Indexing [Gzipped Postscript w/ b&w images] [First color image] [Second color image] Proceedings of the Workshop on New Paradigms in Information Visualization and Manipulation (NPIVM '97), Las Vegas, NV. ACM Press, 1998. David S. Ebert, James M. Kukla, Christopher D. Shaw, Amen Zwa, Ian Soboroff, and D. Aaron Roberts. (October 1997) Automatic Shape Interpolation for Glyph-based Information Visualization IEEE Visualization '97, Late Breaking Hot Topics, Phoenix, AZ. David S. Ebert, Amen Zwa, Ethan L. Miller, Chris D. Shaw, and D. Aaron Roberts (July 1997) Two-handed Volumetric Document Corpus Management IEEE Computer Graphics and Applications, 17(4). David Ebert, Chris Shaw, Amen Zwa, Ethan Miller, and D. A. Roberts (May 1997) Interactive Volume Visualization for Document Corpus Management Proceedings of Graphics Interface, May 1997.

Software Agents

R. Scott Cost, Ye Chen, Tim Finin, Yannis Labrou, Yun Peng Using Colored Petri Nets for Conversation Modeling. To appear in Working Notes of the Workshop on Agent Communication Languages, Sixteenth International Joint Conference on Artificial Intelligence (IJCAI '99), Stockholm, Sweden, August 1, 1999. R. Scott Cost, Ye Chen, Tim Finin, Yannis Labrou, Yun Peng Modeling Agent Conversations with Colored Petri Nets. In Working Notes of the Workshop on Specifying and Implementing Conversation Policies, Third International Conference on Autonomous Agents (Agents '99), Seattle, Washington, May 1, 1999. R. Scott Cost, Tim Finin, Yannis Labrou, Xiaocheng Luan, Yun Peng, Ian Soboroff, James Mayfield and Akram Boughannam Jackal: A Java-Based Tool for Agent Development Working Notes of the Workshop on Tools for Developing Agents (AAAI '98) (AAAI Technical Report). R. Scott Cost, Ian Soboroff, Jeegar Lakhani, Tim Finin, Ethan Miller and Charles Nicholas TKQML: A Scripting Tool for Building Agents. The Proceedings of the 1997 Conference on Agent Theories and Agent Languages (ATAL '97). Also in Lecture Notes in Artificial Intelligence (LNAI). R. Scott Cost, Ian Soboroff, Jeegar Lakhani, Tim Finin, Ethan Miller and Charles Nicholas TKQML: A KQML Extension to Tcl Technical Report CS-97-04. R. Scott Cost A Naming and Addressing Protocol for Multi-Agent Systems: A Response to FIPA's Fifth Call for Proposals. January 24, 1999. R. Scott Cost KNS: A Naming and Addressing Protocol for Multi-Agent Systems. (Summary) July 15, 1998.

Intrusion Detection

Andrew J. Stewart Distributed Metastasis: A Computer Network Penetration Methodology August 12,1999 Consultant, Packet Factory Christina Yip Chung , M.Gertz and Karl Levitt DEMIDS: A Misuse Detection System for Database Systems 1999 Computer Science, University of California at Davis One Sheilds Avenue, Davis, CA 95616-8562 Dahlia Malkhi and Michael K. Reiter Unreliable Intrusion Detection in Distributed Computations AT&T Labs-Research, Murray Hill, NJ Usa 1999 Dennis J. Ingram Autonomous Agents for Distributed Intrusion Detection in a Multi-host Environment 1999 Naval PostGraduate School Monterey, California   Lance Spitzner Intrusion Detection for Checkpoint Firewall 1 Coast Project Department of Computer Science Purdue University 1999   Lee, Wenke (1999) A Data Mining Framework for Building Intrusion Detection Models Computer Science Department, Columbia University 1999 Stephanie Forrest , Barak Pearlmutter and Christina Warrender Detecting Intrusions Using System Calls: Alternative Data Models Department of Computer Science, University of New Mexico 1999 Ulf Lindqvist and Phillip A. Porras Detecting Computer and Network Misuse Through the Production-Based Expert System Toolset (P-Best) In Proceedings of the 1999 IEEE Symposium on Security and Privacy ,Oakland, Califonia, May 9-12, 1999 University Of Melbourne Intrusion Detection Systems And A View To Its Forensic Applications 1999 Wayne Jansen , Tom Karygiannis , Don Marks And Peter Mell Applying Mobile Agents To Intrusion Detection And Response From NIST Interim Report (IR)-6416 October 1999 Wenke Lee , Kui W. Mok And Salvatore J. Stolfo Mining In A Data-Flow Environment: Experience In Network Intrusion Detection Computer Science Department, Columbia University 1999 Wenke Lee And Salvatore J. Stolfo Data Mining Approaches For Intrusion Detection Computer Science Department, Columbia University   Carla E. Brodley And Terran Lane Temporal Sequence Learning And Data Reduction For Anomaly Detection School of Electrical and Computer Engineering and the Coast Laboratory 1998 Deborah Frincke , Jamie Marconi , Jesse Mcconnell , Dean Polla And Don Tobin A Framework For Cooperative Intrusion Detection Center for Secure and Dependable Software University of Idaho, 1998 Deborah Frincke , Jesse Mcconnell And Greg Vert A Visual Mathematical Model For Intrusion Detection Center for Secure and Dependable Software University of Idaho, 1998 David Endler Intrusion Detection Applying Machine Learning To Solaris Audit Data Department of Electrical Engineering and Computer Science Tulane University, 1998 Jai Sundar Balasubramaniya, Jose Omar Garcia-Fernandez , David Isacoff , Eugene Spafford And Diego Zamboni An Architecture For Intrusion Detection Using Autonomous Agents COAST Technical Report 98/05 Coast Labortory, Purdue University, 1998 James Cannady And James Mahaffey The Application Of Artificial Neural Networks To Misuse Detection: Initial Results 1998 Joseph Barrus And Neil C. Rowe A Distributed Autonomous-Agent Network-Intrusion Detection And Response System 1998 Command and Control Research and Technology Symposium, Montery CA, June-July 1998 Ludovic Me Gassata, A Genetic Algorithm For Log Trail Analysis France Supelec, B.P. 28 1998 Ming-Yuh Huang And Thomas M. Wicks A Large-Scale Distributed Intrusion Detection Framework Based On Attack Strategy Analysis Applied Research and Technology The Boeing Company Seattle, WA, U.S.A.1998 Wenke Lee Mining Audit Data To Build Intrusion Detection Models Computer Science Department, Columbia University, 1998 A. Mounji Rule-Based Distributed Intrusion Detection Institution of Information, University of Nemur, July ll, 1997 Jeremy Frank Artificial Intelligence And Intrusion Detection: Current And Future Directions Division of Computer Science, University of California at Davis, 1994 Justin Lister Intrusion Detection Systems: An Introduction To The Detection And Prevention Of Computer Abuse January1995 Sandeep Kumar And Eugene Spafford An Application Of Pattern Matching In Intrusion Detection The COAST Project Department of Computer Science, Purdue University June 17, 1994 Sandeep Kumar And Eugene Spafford A Pattern Matching Model For Misuse Intrusion Detection The COAST Project Department of Computer Science, Purdue University 1994 James Brentano , Gihan V. Dias , Terrance L. Goan , Tim Grance , L. Todd Heberlein , Che-Lin Ho , Karl Levitt , Douglas Mansur , Biswanath Mukherjee , Kenneth L. Pon , Stephen E. Smaha And Steven R. Snapp A System For Distributed Intrusion Detection Appears In Compcon Spring '91. Digest of Papers, IEEE 1991