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008			230308s2023 sz | o |||| 0|eng d
020			_a9783031166136
024	7		_a10.1007/978-3-031-16613-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .A25 _b2023 EB
245	0	0	_aCyber Deception : _bTechniques, Strategies, and Human Aspects _cedited by Tiffany Bao, Milind Tambe, Cliff Wang
250			_a1st ed 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aAdvances in Information Security _x2512-2193 _v89
505	0		_a1. Diversifying Deception: Game Theoretic Models for Two-Sided and Layered Deception -- 2. Human-Subject Experiments on Risk-based Cyber Camouflage Games -- 3. Adaptive Cyberdefense with Deception: A Human-AI Cognitive Approach -- 4. Cognitive Modeling for Personalized, Adaptive Signaling for Cyber Deception -- 5. Deceptive Signaling: Understanding Human Behavior against Signaling algorithms -- 6. Optimizing Honey Traffic Using Game Theory and Adversarial Learning -- 7. Mee: Adaptive Honeyfile System for Insider Attacker Detection -- 8. HoneyPLC: A Next-Generation Honeypot for Industrial Control Systems -- 9. Using Amnesia to Detect Credential Database Breaches -- 10. Deceiving ML-Based Friend-or-Foe Identification for Executables.
520			_aThis book introduces recent research results for cyber deception, a promising field for proactive cyber defense. The beauty and challenge of cyber deception is that it is an interdisciplinary research field requiring study from techniques and strategies to human aspects. This book covers a wide variety of cyber deception research, including game theory, artificial intelligence, cognitive science, and deception-related technology. Specifically, this book addresses three core elements regarding cyber deception: Understanding human's cognitive behaviors in decoyed network scenarios Developing effective deceptive strategies based on human's behaviors Designing deceptive techniques that supports the enforcement of deceptive strategies The research introduced in this book identifies the scientific challenges, highlights the complexity and inspires the future research of cyber deception. Researchers working in cybersecurity and advanced-level computer science students focused on cybersecurity will find this book useful as a reference. This book also targets professionals working in cybersecurity. Chapter 'Using Amnesia to Detect Credential Database Breaches' and Chapter 'Deceiving ML-Based Friend-or-Foe Identification for Executables' are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
988			_aSpringer_Computer_2023
650		7	_2embne _9158200 _aSeguridad informática
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-16613-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI