The editors (of Rutgers U. in the United States and Ben-Gurion U. of the Negev in Israel) present 19 papers from a June 2007 conference that brought computer scientists together with scholars of intelligence and terrorism to discuss issues connected to the detection and prevention of terrorist use of the World Wide Web. Opening papers discuss the causes and impacts of terrorist use of the Web, cybercrime and cyberterrorism as security threat, and related issues. The next set of papers discusses data mining issues, including the characterization of Web users' navigation patterns and discovery of groups in communication networks. Knowledge discovery in texts and images is then explored in chapters that address authorship attribution in law enforcement scenarios; Bayesian models, prior knowledge, and data fusion for monitoring messages and identifying actors; entity and relation extraction in texts with semi-supervised extensions; data compression models for prediction and classification; security informatics in complex documents; visual recognition; and approaches for learning classifiers of drifting concepts. The remaining papers are on techno- intelligence signatures analysis, a Web harvesting intelligent anti- terror system, and the protection of critical infrastructure from cyber-terrorist attacks. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
