Reasoning, Adaptive Planning, and Evaluation of HoneyThings
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Beschreibung
This textbook surveys the knowledge base in automated and resilient cyber deception. It features four major parts: cyber deception reasoning frameworks, dynamic decision-making for cyber deception, network-based deception, and malware deception.
An important distinguishing characteristic of this book is its inclusion of student exercises at the end of each chapter. Exercises include technical problems, short-answer discussion questions, or hands-on lab exercises, organized at a range of difficulties from easy to advanced,.
This is a useful textbook for a wide range of classes and degree levels within the security arena and other related topics. It’s also suitable for researchers and practitioners with a variety of cyber security backgrounds from novice to experienced.
Provides comprehensive coverage of adaptive cyber deception in many aspects, including theory and practice, sense-making and decision making, and network and system perspectives Focuses on how to make cyber deception adaptive, dynamic, and resilient Many of the chapter concepts are rooted in the science of cyber deception as it provides metrics to measure the effectiveness and cost of deception, methodologies to measure the deception benefit, and methodologies to optimize deception, planning, and decision Includes exercises that help students have hand-on experience with the topic and deeply understand the chapter concepts Diversity of approaches that provide important foundations for cyber deception that includes AI, ML, game theory, satisfiability theory, symbolic analysis, and others