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Covering attack detection, malware response, algorithm and mechanism design, privacy, and risk management, this comprehensive work applies unique quantitative models derived from decision, control, and game theories to understanding diverse network security problems. It provides the reader with a system-level theoretical understanding of network security, and is essential reading for researchers interested in a quantitative approach to key incentive and resource allocation issues in the field. It also provides practitioners with an analytical foundation that is useful for formalising decision-making processes in network security.…mehr

Produktbeschreibung
Covering attack detection, malware response, algorithm and mechanism design, privacy, and risk management, this comprehensive work applies unique quantitative models derived from decision, control, and game theories to understanding diverse network security problems. It provides the reader with a system-level theoretical understanding of network security, and is essential reading for researchers interested in a quantitative approach to key incentive and resource allocation issues in the field. It also provides practitioners with an analytical foundation that is useful for formalising decision-making processes in network security.

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Autorenporträt
Tansu Alpcan is an Assistant Professor at the Technical University of Berlin, and is concurrently affiliated with Deutsche Telekom Laboratories. His research involves applications of distributed decision making, game theory, and control to various security and resource allocation problems in complex and networked systems. Dr Alpcan is the recipient of multiple research awards from the University of Illinois, where he obtained his PhD degree, and has numerous publications in security, networking, control, and game theory.