On Fighting Fire with Fire Strategic Destabilization of Terrorist Networks

Terrorist organizations have social networks that enable them to recruit and operate around the world. This paper presents a novel computational framework for derivation of optimal destabilization strategies against dynamic social networks of terrorists. We develop a game-theoretic model to capture...

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Vydané v:Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 s. 1120 - 1127
Hlavní autori: Behzadan, Vahid, Nourmohammadi, Amin, Gunes, Mehmet, Yuksel, Murat
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: New York, NY, USA ACM 31.07.2017
Edícia:ACM Conferences
Predmet:
Computer systems organization
Computer systems organization > Dependable and fault-tolerant systems and networks
Computer systems organization > Dependable and fault-tolerant systems and networks > Redundancy
Human-centered computing
Human-centered computing > Collaborative and social computing
Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms
Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms > Social networks
Information systems
Information systems > Information systems applications
Information systems > Information systems applications > Collaborative and social computing systems and tools
Information systems > Information systems applications > Collaborative and social computing systems and tools > Social networking sites
Information systems > World Wide Web
Information systems > World Wide Web > Web applications
Information systems > World Wide Web > Web applications > Social networks
Networks
Networks > Network properties
Networks > Network properties > Network reliability
Networks > Network types
Networks > Network types > Overlay and other logical network structures
Theory of computation
Theory of computation > Theory and algorithms for application domains
Theory of computation > Theory and algorithms for application domains > Algorithmic game theory and mechanism design
Theory of computation > Theory and algorithms for application domains > Algorithmic game theory and mechanism design > Algorithmic game theory
Theory of computation > Theory and algorithms for application domains > Algorithmic game theory and mechanism design > Social networks
Reinforcement Learning
Network Formation Game
Guided Self-Organization
Counter Terrorism
Dynamic Network Analysis
ISBN:1450349935, 9781450349932
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Popis
Shrnutí:Terrorist organizations have social networks that enable them to recruit and operate around the world. This paper presents a novel computational framework for derivation of optimal destabilization strategies against dynamic social networks of terrorists. We develop a game-theoretic model to capture the distributed and complex dynamics of terrorist organizations, and introduce a technique for estimation of such dynamics from incomplete snapshots of target networks. Furthermore, we propose a mechanism for devising the optimal sequence of actions that drive the internal dynamics of targeted organizations towards an arbitrary state of instability. The performance of this framework is evaluated on a model of the Al-Qaeda network in 2001, verifying the efficacy of our proposals for counter-terrorism applications.
ISBN:1450349935
9781450349932
DOI:10.1145/3110025.3119404