Description

Book Synopsis

Section 1: Modeling and Analysis.- Chapter 1: Overview and challenges of modeling and analysis for cyber deception.- Chapter 2: Game-theoretic models for cyber deception.- Chapter 3: Formal methods and their applications.- Chapter 4: Data science and machine learning for cyber deception.- Section 2: Human Factors.- Chapter 5: Overview and  challenges of human factors for cyber deception.- Chapter 6: Cognitive vulnerabilities.- Chapter 7: Human bounded rationality biases.- Chapter 8: Human modeling and data science.- Section 3: Design and Practice.- Chapter 9: Overview and challenges of design and practice.- Chapter 10: MITRE framework for cyber deception.- Chapter 11: Practical tools and experiments.- Chapter 12: Design considerations for cyber deception solutions.- Section 4: Convergent Scientific Foundations.- Chapter 13: Overview and the need for a convergent science.- Chapter 14: Convergent Foundation for defensive deception for industrial control systems.- Chapter 15: Convergent Foundation for automated deception of cyber malware.- Chapter 16: Convergent Foundation for defensive cognitive security.- Chapter 17: Conclusions and Perspectives.

Foundations of Cyber Deception

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    A Hardback by Quanyan Zhu

    15 in stock


      View other formats and editions of Foundations of Cyber Deception by Quanyan Zhu

      Publisher: Springer
      Publication Date: 19/08/2025
      ISBN13: 9783031938665, 978-3031938665
      ISBN10:
      Also in:
      Computing Computer security

      Description

      Book Synopsis

      Section 1: Modeling and Analysis.- Chapter 1: Overview and challenges of modeling and analysis for cyber deception.- Chapter 2: Game-theoretic models for cyber deception.- Chapter 3: Formal methods and their applications.- Chapter 4: Data science and machine learning for cyber deception.- Section 2: Human Factors.- Chapter 5: Overview and  challenges of human factors for cyber deception.- Chapter 6: Cognitive vulnerabilities.- Chapter 7: Human bounded rationality biases.- Chapter 8: Human modeling and data science.- Section 3: Design and Practice.- Chapter 9: Overview and challenges of design and practice.- Chapter 10: MITRE framework for cyber deception.- Chapter 11: Practical tools and experiments.- Chapter 12: Design considerations for cyber deception solutions.- Section 4: Convergent Scientific Foundations.- Chapter 13: Overview and the need for a convergent science.- Chapter 14: Convergent Foundation for defensive deception for industrial control systems.- Chapter 15: Convergent Foundation for automated deception of cyber malware.- Chapter 16: Convergent Foundation for defensive cognitive security.- Chapter 17: Conclusions and Perspectives.

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