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Titlebook: Autonomous Cyber Deception; Reasoning, Adaptive Ehab Al-Shaer,Jinpeng Wei,Cliff Wang Textbook 2019 Springer Nature Switzerland AG 2019 cyb

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期刊全称Autonomous Cyber Deception
期刊简称Reasoning, Adaptive
影响因子2023Ehab Al-Shaer,Jinpeng Wei,Cliff Wang
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发行地址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
图书封面Titlebook: Autonomous Cyber Deception; Reasoning, Adaptive  Ehab Al-Shaer,Jinpeng Wei,Cliff Wang Textbook 2019 Springer Nature Switzerland AG 2019 cyb
影响因子.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..
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Patricia Bachmann,Ignaz Rutter,Peter Stumpfligent cyber deception systems. Such systems can dynamically plan the deception strategy and use several actuators to effectively implement the cyber deception measures. We also present a prototype of a framework designed to simplify the development of cyber deception tools to be integrated with such intelligent agents.
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Malware Deception with Automatic Analysis and Generation of HoneyResourceeving something. Towards this end, this chapter introduces our preliminary systematic study and a prototype system, ., for automatically extracting the system resource constraints from malware code and generating HoneyResource (e.g., malware vaccines) based on the system resource conditions.
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Lecture Notes in Computer Scienceeving something. Towards this end, this chapter introduces our preliminary systematic study and a prototype system, ., for automatically extracting the system resource constraints from malware code and generating HoneyResource (e.g., malware vaccines) based on the system resource conditions.
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Ehab Al-Shaer,Jinpeng Wei,Cliff WangProvides 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
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