AC2006: Keynote Talks

The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose from several alternatives, the business community has realized the necessity of intelligent marketing strategies and relationship management. Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. Web usage mining has become very critical for effective Web site management, creating adaptive Web sites, business and support services, personalization, network traffic flow analysis and so on. This talk presents the important concepts of Web usage mining and its various practical applications. Further a web usage mining framework based on some natural computation techniques is presented. Proposed framework is compared with several clustering techniques like self organizing maps, fuzzy clustering, ant colony clustering and function approximation techniques namely artificial neural networks, genetic programming and fuzzy inference system etc. The results are graphically illustrated and the practical significance is discussed in detail.

References

[1] Abraham A., World Wide Web Usage Mining, Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing, Seppo Ovaska (Ed.), John Wiley & Sons Inc. and IEEE Press, ISBN 0471476684, pp. 363 -396, 2004.

[2] Abraham A., Business Intelligence from Web Usage Mining, Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co., Singapore, Vol. 2, No. 4, pp. 375-390, 2003.

[3] Abraham A. and Ramos V., Web Usage Mining Using Artificial Ant Colony Clustering and Genetic Programming, 2003 IEEE Congress on Evolutionary Computation (CEC2003), Australia, IEEE Press, pp.1384-1391, 2003.

BIO

Ajith Abraham currently works as a Distinguished Professor under the South Korean Government’s Institute of Information Technology Assessment (IITA) Professorship Program at Chung-Ang University, Korea. His primary research interests are in computational intelligence with a focus on using evolutionary computation techniques for designing intelligent paradigms. Application areas include several real world knowledge-mining applications like Web services, information security, bioinformatics, Web intelligence, energy management, financial modeling, weather analysis, fault monitoring, multi criteria decision-making etc. He has authored/co-authored over 200 research publications in peer reviewed reputed journals, book chapters and conference proceedings of which three have won ‘best paper’ awards.

He is serving the Editorial board of over a dozen International Journals and has also guest edited 12 special issues for reputed International Journals. Since 2001, he is actively involved in the Hybrid Intelligent Systems (HIS) and the Intelligent Systems Design and Applications (ISDA) series of International conferences. He was the General Chair of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9); General Co-Chair of The Fourth IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST05), Japan and the Program Co-Chair of the Inaugural Conference on Next Generation Web Services Practices (NWeSP'05), Seoul, Korea. He received PhD degree from Monash University, Australia. More information at: http://www.softcomputing.net .

WOMBAT: a Worldwide Observatory of Malicious Behaviors and Attack Threats.

by Marc Dacier

Institut Eurecom, France

Email: marc.dacier at eurecom.fr

Abstract

The Eurecom Institute has managed for more than two years a wordlwide distributed system of low interaction honeypots. The project, named Leurré.com (www.leurrecom.org), is based on more than 30 identical platforms running in 25 different countries covering the 5 continents. The attack traces collected on each site are centralized in a large database that can be queried by each partner. In this talk, we will review some of the most important results that have been obtained during these years and provide references to the publications describing them in some more depth. Furthermore, we will introduce a novel framework, named HoRaSIS (HOneypot tRAffic analySIS) aimed at discovering the modus operandi of some of the malicious entities using attack tools on the Internet. Last but not least, we will explain how partners can join this worldwide observatory and, by doing so, increase the joined expertise of the members of the community using this dataset.

BIO

Marc Dacier is a professor at the Eurecom Institute. He also is an associate professor at the Université of Liège, in Belgium. From 1996 until 2002, he worked at IBM Research as the manager of the Global Security Analysis Lab. In 1998, he co-founded with K. Jackson the "Recent Advances on Intrusion Detection" Symposium (RAID). He is now chairing its steering committee. He also was the co-director, with Brian Randell from the University of Newcsastle, of the MAFTIA European Project (Malicious and Accidental Fault Tolerance for Internet Applications). He serves on the program committees of major security and dependability conferences and is a member of the steering committee of the "European Symposium on Research for Computer Security" (ESORICS). He serves on the editorial board of the IEEE Transactions on Dependable and Secure Computing (TDSC). He is leading the Leurrécom project (www.leurrecom.org), a worldwide distributed honeypot system deployed in more than 20 different countries. His research and teaching interests include computer and network security, intrusion detection, network and system management. He is the author of numerous international publications and several patents.