Name: Adversarial Symbiosis in Cybersecurity
SKU: 198732924
Price: 145800 KRW
Availability: InStock
Author: Rebecca M. Basta
ISBN: 9781394460564

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eBook Adversarial Symbiosis in Cybersecurity

Co-evolving AI for Attack, Defense and Governance 스마트한 PDF 필기 기능을 사용해 보세요!

Rebecca M. Basta 저

Wiley 2026.10.15.

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시리즈 태그 업체 공지사항 구성 소개 특별 구성 MD 한마디 카드뉴스 상세 이미지 소개 관련 동영상 목차 미리듣기 저자 소개 관련분류 품목정보 만든이 코멘트 예스24 리뷰 책 속으로 줄거리 캐스팅 관련 자료 부가 영상 출판사 리뷰 전문가 리뷰 추천평

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Apply evolutionary biology to AI-driven cybersecurity attack and defense Offensive AI now discovers vulnerabilities, generates adversarial examples that defeat defensive models, and adapts in real time. Adversarial Symbiosis in Cybersecurity: Co-evolving AI for Attack, Defense and Governance reconceptualizes this landscape as a living ecosystem where defensive AI, offensive AI, and human operators continuously co-evolve through adaptive learning loops, with each side’s adaptations shaping the other’s trajectory. Drawing on predator-prey dynamics and biological co-evolution, the book delivers quantitative models, simulation methods, and practical design principles for building AI systems that adapt dynamically rather than merely detect threats. Later chapters address offensive AI capabilities including automated exploit discovery and adversarial example generation, while governance models balance innovation with ethics, safety, and regulatory compliance. The book also covers: <ul><li>Human-centered approaches integrating cognitive science, decision support design, and trust calibration into AI-augmented security operations workflows</li> <li>Real-world case studies demonstrating co-evolutionary patterns in advanced persistent threat campaigns, phishing ecosystems, and IoT botnets</li> <li>Practical architectures for designing adaptive defense systems that respond to evolving offensive techniques through continuous learning loops</li> <li>Multi-agent reinforcement learning and meta-learning frameworks applied to emergent behaviors within adversarial cybersecurity environments</li> <li>Governance and policy frameworks addressing ethical deployment of offensive AI capabilities alongside regulatory compliance requirements</li></ul> Written for security operations center analysts and managers, threat intelligence specialists, and incident response teams, this book also serves security architects, engineers, and CISOs seeking a rigorous co-evolutionary framework for understanding and operationalizing AI-driven cybersecurity strategy.

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1 Foundations of Adversarial Symbiosis 5
2 Evolutionary Theory Meets Cybersecurity 23
3 Anatomy of an AI-Driven Cyber Ecosystem 41
4 Defensive AI Architectures and Learning Modalities 59
5 Offensive AI: Capabilities, Methods, and Ethical Constraints 75
6 Human Agents in the Loop: Roles, Incentives, and Cognitive Limits 89
7 Data Ecology: Sources, Quality, Poisoning, and Drift 105
8 Adversarial Machine Learning: Attacks and Robustness Techniques 121
9 Coevolutionary Modeling and Simulation Methods 139
10 Metrics for Coevolving Systems: Measuring Adaptation and Stability 155
11 Designing Feedback Loops and Learning Schedules 171
12 Emergent Behaviors and Unintended Consequences 189
13 Governance, Policy, and Compliance in Adaptive Cyber Ecosystems 205
14 Collaborative Defenses: Information Sharing and Collective Adaptation 219
15 Offensive–Defensive Codesign: Joint Protocols and Testbeds 235
16 Scaling and Operationalizing Coevolving AI Systems 249
17 Case Studies: Real-World Coevolution Scenarios 267
18 Future Directions: Toward Robust, Ethical, and Sustainable Symbiosis 281

Conclusion 295
References 299
Answer Key 309
Index 353

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저자 소개

Rebecca M. Basta, M.Sc, CIPP/US, AIGP, CHDA, PMP, CAIP, CDPPM, CAP-Expert, DataX, DataSys+, Data+, ISO 14971 Lead Auditor, Certified Lean Six Sigma Master Black Belt, is a Teaching Assistant at the University of Georgia and a curriculum developer and grant writer. She is a Certified Health Data Analyst through the American Health Information Management Association. Holding more than thirty-two professional certifications spanning Data Analytics, machine learning, and project management, she brings specialized expertise in healthcare data systems and regulatory frameworks governing medical information security.

Stavros E. Basta, M.Sc, CIPP/US, CISM, GSLC, GICSP, CPENT, LPTM, CEH, SecurityX, PMP, is a cybersecurity consultant and accomplished grant writer whose work connects the theoretical foundations of mathematics with practical cybersecurity applications. Holding more than twenty-eight professional certifications spanning privacy, security management, penetration testing, ethical hacking, and project management, he brings deep operational and analytical expertise to the field.