Articles liés à Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

Computational Analysis of Terrorist Groups: Lashkar-e-Taiba - Couverture rigide

Subrahmanian, V. S.; Mannes, Aaron; Sliva, Amy; Shakarian, Jana; Dickerson, John P.

 
9781461447689: Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

Synopsis

Computational Analysis of Terrorist Groups: Lashkar-e-Taiba provides an in-depth look at Web intelligence, and how advanced mathematics and modern computing technology can influence the insights we have on terrorist groups. This book primarily focuses on one famous terrorist group known as Lashkar-e-Taiba (or LeT), and how it operates. After 10 years of counter Al Qaeda operations, LeT is considered by many in the counter-terrorism community to be an even greater threat to the US and world peace than Al Qaeda.

Computational Analysis of Terrorist Groups: Lashkar-e-Taiba is the first book that demonstrates how to use modern computational analysis techniques including methods for “big data” analysis. This book presents how to quantify both the environment in which LeT operate, and the actions it took over a 20-year period, and represent it as a relational database table. This table is then mined using sophisticated data mining algorithms in order to gain detailed, mathematical, computational and statistical insights into LeT and its operations. This book also provides a detailed history of Lashkar-e-Taiba based on extensive analysis conducted by using open source information and public statements. Each chapter includes a case study, as well as a slide describing the key results which are available on the authors’ web sites.

Computational Analysis of Terrorist Groups: Lashkar-e-Taiba is designed for a professional market composed of government or military workers, researchers and computer scientists working in the web intelligence field. Advanced-level students in computer science will also find this valuable as a reference book.

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À propos de l'auteur

Laura Mostert is an officer in the Royal Netherlands Air Force with a background in war studies and cyber security governance. Roy Lindelauf is the Chair Data Science in Military Operations at Faculty of Military Sciences at Netherlands Defence Academy and an Endowed Chair Data Science for Safety, Security at the Department of Cognitive Science & Artificial Intelligence at Tilburg School of Humanities and Digital Sciences. He is also Head of Data Science Center of Excellence at Netherlands Ministry of Defence. Chiara Pulice is a Senior Research Associate in computer science with Northwestern University, Evanston, IL, USA. Her research interests include counter-terrorism and machine learning. She received the Ph.D. degree in computer and systems engineering from the University of Calabria, Cosenza, Italy, in 2015. Marnix Provoost is an active duty officer in the Royal Netherlands Army. He holds a Master’s degree in Military Strategic Studies and is currently positioned at the Netherlands Defence Academy as a fulltime PhD student. His research is focused on insurgencies and their analogies with state formation. Priyanka Amin has recently finished her undergraduate degree in computer science and global history at Northwestern University. V.S. Subrahmanian is the Walter P. Murphy Professor of Computer Science and Buffett Faculty Fellow in the Buffett Institute for Global Affairs at Northwestern University where he also heads the Northwestern Security & AI Lab. He is one of the world’s foremost experts at the intersection of AI and Security matters ranging from counterterrorism to cybersecurity to border issues and warfare. An elected Fellow of AAAI and AAAS, he has previously served as Director of the Institute for Security, Technology, and Society at Dartmouth College and as Director of the University of Maryland Institute for Advanced Computer Studies.

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