Generative Ai, Cybersecurity, and Ethics - Mohammad Rubyet Islam

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Biographie:
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Sommaire:

List of Figures xxiii

List of Tables xxv

Endorsements xxvii

About the Author xxxi

Preface xxxiii

Acknowledgements xxxv

1 Introduction 1

1.1 Artificial Intelligence (AI) 1

1.1.1 Narrow AI (Weak AI) 2

1.1.2 General AI (Strong AI) 2

1.2 Machine Learning (ML) 3

1.3 Deep Learning 3

1.4 Generative AI 4

1.4.1 GenAI vs. Other AI 5

1.5 Cybersecurity 6

1.6 Ethics 7

1.7 AI to GenAI: Milestones and Evolutions 8

1.7.1 1950s: Foundations of AI 8

1.7.2 1960s: Early AI Developments 9

1.7.3 1970s-1980s: AI Growth and AI Winter 9

1.7.4 1990s: New Victory 9

1.7.5 2010s: Rise of GenAI 10

1.8 AI in Cybersecurity 10

1.8.1 Advanced Threat Detection and Prevention 10

1.8.2 Real-Time Adaptation and Responsiveness 11

1.8.3 Behavioral Analysis and Anomaly Detection 11

1.8.4 Phishing Mitigation 11

1.8.5 Harnessing Threat Intelligence 11

1.8.6 GenAI in Cybersecurity 12

1.9 Introduction to Ethical Considerations in GenAI 12

1.9.1 Bias and Fairness 12

1.9.2 Privacy 12

1.9.3 Transparency and Explainability 13

1.9.4 Accountability and Responsibility 13

1.9.5 Malicious Use 13

1.9.6 Equity and Access 13

1.9.7 Human Autonomy and Control 14

1.10 Overview of the Regional Regulatory Landscape for GenAI 14

1.10.1 North America 14

1.10.2 Europe 15

1.10.3 Asia 15

1.10.4 Africa 15

1.10.5 Australia 15

1.11 Tomorrow 15

2 Cybersecurity: Understanding the Digital Fortress 17

2.1 Different Types of Cybersecurity 17

2.1.1 Network Security 17

2.1.2 Application Security 19

2.1.3 Information Security 20

2.1.4 Operational Security 21

2.1.5 Disaster Recovery and Business Continuity 22

2.1.6 Endpoint Security 22

2.1.7 Identity and Access Management (IAM) 23

2.1.8 Cloud Security 24

2.1.9 Mobile Security 24

2.1.10 Critical Infrastructure Security 24

2.1.11 Physical Security 25

2.2 Cost of Cybercrime 25

2.2.1 Global Impact 25

2.2.2 Regional Perspectives 27

2.2.2.1 North America 27

2.2.2.2 Europe 28

2.2.2.3 Asia 28

2.2.2.4 Africa 28

2.2.2.5 Latin America 29

2.3 Industry-Specific Cybersecurity Challenges 30

2.3.1 Financial Sector 30

2.3.2 Healthcare 30

2.3.3 Government 31

2.3.4 E-Commerce 31

2.3.5 Industrial and Critical Infrastructure 32

2.4 Current Implications and Measures 32

2.5 Roles of AI in Cybersecurity 33

2.5.1 Advanced Threat Detection and Anomaly Recognition 33

2.5.2 Proactive Threat Hunting 34

2.5.3 Automated Incident Response 34

2.5.4 Enhancing IoT and Edge Security 34

2.5.5 Compliance and Data Privacy 35

2.5.6 Predictive Capabilities in Cybersecurity 35

2.5.7 Real-Time Detection and Response 35

2.5.8 Autonomous Response to Cyber Threats 36

2.5.9 Advanced Threat Intelligence 36

2.6 Roles of GenAI in Cybersecurity 36

2.7 Importance of Ethics in Cybersecurity 37

2.7.1 Ethical Concerns of AI in Cybersecurity 37

2.7.2 Ethical Concerns of GenAI in Cybersecurity 38

2.7.3 Cybersecurity-Related Regulations: A Global Overview 39

2.7.3.1 United States 39

2.7.3.2 Canada 39

2.7.3.3 United Kingdom 41

2.7.3.4 European Union 42

2.7.3.5 Asia-Pacific 42

2.7.3.6 Australia 43

2.7.3.7 India 43

2.7.3.8 South Korea 43

2.7.3.9 Middle East and Africa 43

2.7.3.10 Latin America 44

2.7.4 UN SDGs for Cybersecurity 45