Criminal network analysis and visualization
Communications of the ACM - 3d hard copy
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Detecting Critical Regions in Covert Networks: A Case Study of 9/11 Terrorists Network
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Validating and Calibrating Agent-Based Models: A Case Study
Computational Economics
Communications of the ACM
Agent-Based Social Simulation and Modeling in Social Computing
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Hi-index | 0.00 |
Is more always better? Is conventional wisdom always the right guideline in the development of security policies that have large opportunity costs? Is the evaluation of security measures after their introduction the best way? In the past, these questions were frequently left unasked before the introduction of many public security measures. In this paper we put forward the new paradigm that agent-based simulations are an effective and most likely the only sustainable way for the evaluation of public security measures in a complex environment. As a case-study we provide a critical assessment of the power of Telecommunications Data Retention (TDR), which was introduced in most European countries, despite its huge impact on privacy. Up to now it is unknown whether TDR has any benefits in the identification of terrorist dark nets in the period before an attack. The results of our agent-based simulations suggest, contrary to conventional wisdom, that the current practice of acquiring more data may not necessarily yield higher identification rates.