Using Data Mining Techniques for Detecting Terror-Related Activities on the Web

ABSTRACT

An innovative knowledge-based methodology for terrorist detection by using Web traffic content as the audit information is presented. The proposed methodology learns the typical behavior (‘profile’) of terrorists by applying a data mining algorithm to the textual content of terror-related Web sites. The resulting profile is used by the system to perform real-time detection of users suspected of being engaged in terrorist activities. The Receiver-Operator Characteristic (ROC) analysis shows that this methodology can outperform a command- based intrusion detection system.


AUTHORS

Lecturer, Department of Information Systems Engineering, Ben-Gurion University of the Negev
Israel

Yuval Elovici is a lecturer at the department of Information Systems Engineering, Ben-Gurion University. He holds Ph.D degree in Information Systems from the Tel-Aviv University, Israel. and B.Sc. and M.Sc. degrees in Computer and Electrical Engineering from the Ben-Gurion University of the Negev, Israel. His main areas of interest are computer security, internet security, information economics, and parallel and distributed systems.

Chairman, Computer Science and Engineering Department, University of South Florida, Tampa, Florida

Abraham Kandel is a graduate of the Technion-Israel Institute of Technology, Professor Kandel received his Ph.D. in Electrical Engineering and Computer Science at the University of New Mexico. He is the chairman of the Computer Science and Engineering Department, as well as the Endowed Eminent Scholar and Distinguished Research Professor at the University of South Florida. He is also the Executive Director of NISTP (The National Institute for Systems Test and Productivity) at USF. His research interests involve Software Testing, Computational Theory of Perception, Decision-making in Uncertain Environments, Fuzzy Logic, and Data Mining. He is the author or co-author of 19 books, over 400 scientific papers, and the editor or co-editor of 12 research volumes.

Lecturer, Department of Information Systems Engineering, Ben-Gurion University of the Negev
Israel

Mark Last received his M.Sc. (1990) and Ph.D. (2000) degrees in Industrial Engineering from Tel Aviv University, Israel. He is currently a Lecturer at the Department of Information Systems Engineering, Ben-Gurion University of the Negev, Israel. Mark Last has published about 60 papers and chapters in journals, books, and conferences. His current research interests include data mining, intrusion detection, and software testing.

Lecturer, Department of Information Systems Engineering, Ben-Gurion University of the Negev
Israel

Bracha Shapira is currently a lecturer at the department of Information Systems Engineering, Ben-Gurion University of the Negev in Israel. She holds an M.Sc. degree in computer science from the Hebrew University in Jerusalem and a Ph.D. in Information Systems from Ben-Gurion University. Bracha's articles have been published in referred Journals (Jasaist, Dss, CACM and more), and presented her work in professional conferences. She also worked for telecommunication companies in Israel as a system engineer for real-time applications.

M.Sc. Student, Department of Information Systems Engineering, Ben-Gurion University of the Negev
Israel

Omer Zaafrany is an M.Sc. student in Information systems engineering Dept. Ben-Gurion University of the Negev, Israel. He holds B.Sc. degree in Information systems engineering. His main areas of interest are knowledge management, internet security, information retrieval and information warfare.

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Keywords

C

C2
C2S
CDX
CIA
CIP
CPS

D

DNS
DoD
DoS

I

IA
ICS

S

SOA

X

XRY

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