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Network security : a decision and game-theoretic approach / Tansu Alpcan, Tamer Basar.

By: Contributor(s): Material type: TextTextPublication details: Cambridge, United Kingdom ; New York, United States : Cambridge University Press, 2011.Description: xiv, 314 p. : ill. ; 25 cmISBN:
  • 9780521119320 (hardback)
Subject(s): Genre/Form: DDC classification:
  • 005.8 22 ALP
Contents:
Machine generated contents note : Preface ; Notation ; Part I. Introduction : 1. Introduction ; 2. Network security concepts ; Part II. Security Games : 3. Deterministic security games ; 4. Stochastic security games ; 5. Security games with information limitations ; Part III. Decision Making for Network Security : 6. Security risk management ; 7. Resource allocation for security ; 8. Usability, trust, and privacy ; Part IV. Security Attack and Intrusion Detection : 9. Machine learning for intrusion and anomaly detection ; 10. Hypothesis testing for attack detection ; A. Optimization, game theory, and optimal & robust control ; References ; Index.
Summary: "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"-Summary: "Network security is an important, challenging, and multi-dimensional research field.In its study, theory and practice should function together as parts of a feedback loop.Game, optimization, and control theories, among others, provide a mathematical foundation to formalize the multitude of decision-making processes in network security. The analytical approaches and quantitative frameworks presented lead to better allocation of limited resources and result in more informed responses to security problems in complex networked systems and organizations"-
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Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library Lower Floor Baccah 005.8 ALP (Browse shelf(Opens below)) 21291 Available 000037218
Total holds: 0

Index : p. 312-314.

Bibliography : p. [302]-311.

Machine generated contents note : Preface ; Notation ; Part I. Introduction : 1. Introduction ; 2. Network security concepts ; Part II. Security Games : 3. Deterministic security games ; 4. Stochastic security games ; 5. Security games with information limitations ; Part III. Decision Making for Network Security : 6. Security risk management ; 7. Resource allocation for security ; 8. Usability, trust, and privacy ; Part IV. Security Attack and Intrusion Detection : 9. Machine learning for intrusion and anomaly detection ; 10. Hypothesis testing for attack detection ; A. Optimization, game theory, and optimal & robust control ; References ; Index.

"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"-

"Network security is an important, challenging, and multi-dimensional research field.In its study, theory and practice should function together as parts of a feedback loop.Game, optimization, and control theories, among others, provide a mathematical foundation to formalize the multitude of decision-making processes in network security. The analytical approaches and quantitative frameworks presented lead to better allocation of limited resources and result in more informed responses to security problems in complex networked systems and organizations"-

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