Terrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and they involve the collection of a mass of information from multiple sources and in numerous languages.

TERRORISM INFORMATICS: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art of terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches.

From the reviews:

"The title of this book might imply, at first sight, a US-centric approach to the topic, but in fact, the contributions are not only from the US, but also from Canada … India, and Israel. … A particularly good feature of this book is the back matter included at the end of each chapter: suggested readings, online resources, and discussion questions … . This edited volume should appeal to the growing terrorism informatics research community, graduate students, and readers in the wider community … ." (John Fulcher, ACM Computing Reviews, May, 2009)

The lead author is an editor for the IEEE Int. conference on Intelligence and Security Informatics and the founder of ISI conferences.