期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2010
卷号：3
期号：2
页码：331-336
出版社：Oriental Scientific Publishing Company
摘要：Terrorist Detection System (TDS) is aimed at detecting suspicious users on the Internet by thecontent of information they access. TDS consists of two main modules: a training module activated inbatch mode, and an on-line detection module. The training module is provided with web pages thatinclude terror related content and learns the typical interests of terrorists by applying data miningalgorithms to the training data. The detection module performs real-time monitoring on users" trafficand analyzes the content of the pages they access. An alarm is issued upon detection of a user whosecontent of accessed pages is "too" similar to typical terrorist content. TDS feasibility was tested in anetwork environment. Its detection rate was better than the rate of a state of the art Intrusion DetectionSystem based on anomaly detection. In this Paper we present an Neural based Self organization mapalgorithm in TDS, where the detection algorithm was enhanced to improve the detection and reducethe false alarms in Terrorist Detection System
关键词：Terrorist detection system; neural network; data mining
