Preface xv
1 AI & IP: Ownership Rights in Industry 5.0 1
Pulkit Mogra
1.1 Introduction 2
1.2 Evolution of Artificial Intelligence System 4
1.3 Rights Upon the Fruits of AI: #TheConundrum 8
1.4 The Antidote to Conundrum: Work Made for Hire (WMFH) Model 12
2 Cybersecurity and Crime in Industry 4.0: An Analysis of Legal Aspects of Cybercrime 19
Jeevesh Sharma and Ashima Jain
2.1 Introduction 20
2.2 Industry 4.0 21
2.3 Cybercrime in the Digital Economy 22
2.4 Cybercrime Statistics--Global Context 24
2.5 Cybersecurity 30
2.6 Legal Perspectives of Cybercrime and Their Penalty-Cases 32
2.7 Challenges of Cybersecurity 36
2.8 Conclusion 38
3 Toward an Intelligent Cybersecurity System: The Role of Machine Learning 43
Oly Mishra and Vijaya Geeta Dharmavaram
3.1 Introduction 44
3.2 Machine Learning Paradigms 45
3.3 Machine Learning Applications 46
3.4 Machine Learning Applications in Cybersecurity 47
3.5 Machine Learning in Cybersecurity--Few Cases 48
3.6 Issues and Limitations of Machine Learning in Cybersecurity 51
3.7 Future Directions 52
3.8 Conclusion 53
4 ATP the New-Age Threat Vector and Cyberattack Trends 55
Akashdeep Bhardwaj and Sam Goundar
4.1 Introducing Advanced Persistent Threats 55
4.2 New-Age APT Attacks 58
4.3 Cyberattacks Trends 65
4.4 Reconnaissance 68
4.5 Initial Compromise 69
4.6 Establishing a Foothold 72
4.7 Exfiltration 73
4.8 Consolidation 75
4.9 Covering Tracks 76
4.10 Conclusion 77
5 Online Privacy in Artificial Intelligence Algorithms: Ethical and Legal Impacts of Technological Development and Exposure 79
Aditi Bharti and Gagandeep Kaur
5.1 Introduction 80
5.2 Understanding Artificial Intelligence 83
5.3 Impact of Artificial Intelligence on Personal Data 85
5.4 General Data Protection Regulation and Artificial Intelligence 88
5.5 Right to be Forgotten: Legal and Ethical Considerations of Data Processing by an AI 91
5.6 Conclusion 97
6 Exacerbation and Combat of Cyberattacks: The Dual Paradox of Machine Learning 101
Devika Sharma and Saket Sharma
6.1 Introduction 102
6.2 Concept of Machine Learning 103
6.3 Technologies Involved in Machine Learning and Their Impact on Cybersecurity 106
6.4 Growing Role of Machine Learning in Cybersecurity 108
6.5 Applications of Machine Learning in Cybersecurity 109
6.6 Demerits of Using Machine Learning in Cybersecurity 112
6.7 Legal Framework for Cybersecurity in India 113
6.8 Conclusion 115
7 Hacking the System: A Deep Dive into the World of E-Banking Crime 121
Swati Gupta
7.1 Introduction 122
7.2 Literature Review 124
7.3 Combating E-Banking Crimes 135
7.4 E-Banking Crimes: Emerging Economies 138
7.5 Conclusion 142
8 Is Love a Crime-Decoding Cybercrimes in Online Dating and Risk Mitigation 149
Latika Choudhary and Hardik Daga
8.1 Introduction to Online Dating 150
8.2 Cybercrimes via Online Dating 153
8.3 Exploring the Law of India 159
8.4 Laws Governing Dating Apps in India 161
8.5 A Ray of Hope--is Mitigation Possible 165
9 Critical Analysis of the Role of Intermediaries with Respect to Cybercrimes in Cyberspace 171
Anwesha Pathak
10 Cybercrime and AI: Issues and Solutions 199
Gagandeep Kaur, Darashiny Nivasan and Tanupriya Choudhury
10.1 Introduction 200
10.2 Literature Review 202
10.3 Nature of Artificial Intelligence 206
10.4 Artificial Intelligence Tools for Cybersecurity 209
10.5 Legal Challenges 211
10.6 Comparison of Indian and International Law 215
10.7 Conclusion 228
10.8 Suggestions 229
11 The Illusion of Bitcoin: The Rise and Fall of a Revolutionary Cryptocurrency 237
Ravi Kant
11.1 Mystery of Bitcoin: An Overview 238
11.2 The Rise and Fall of Bitcoin 240
11.3 The Illusion of Bitcoin 243
11.4 Bitcoin and Cybersecurity 244
11.5 Measures to Enhance Bitcoin Security 246
11.6 Case Studies of Bitcoin Security Breaches 248
11.7 Bitcoin and the Financial Industry 249
11.8 Social and Political Implications of Bitcoin 253
11.9 Bitcoin's Role in Crime 255
11.10 The Future of Bitcoin 257
11.11 Conclusion 259
11.12 Way Forward 260
12 Cybercrime Against Women in India: Challenges and Possible Solutions 265
Avneet Kaur
12.1 Introduction 266
12.2 History and Origin of Cybercrimes 267
12.3 Literature Review 268
12.4 Reasons for the Growth of Cybercrimes Against Women 269
12.5 Different Types of Cybercrime Against Women 273
12.6 Implication of Cybercrimes on Women 275
12.7 Legal Provisions Against Cybercrimes 276
12.8 Provisions for Cybercrimes Under IT ACT 2000 277
12.9 Landmark Cases in Cybercrime Against Women 278
12.10 Shortcomings in the Indian Legal System 280
12.11 Suggestions 281
13 Emerging Legal Challenges in the Artificial World of Metaverse 285
Rajesh Kumar and Megha M. Patel
13.1 Introduction 286
13.2 The Ideas Behind the Metaverse 288
13.3 The Application of the Metaverse in Different Industries 290
13.4 Issues and Challenges after Introducing the Metaverse 293
13.5 Approaching Metaverse Problems from a Global Perspective 298
13.6 Conclusion 305
14 Cyberterrorism: In an Era of Information Warfare 309
Mohamad Ayub Dar and Megha Ojha
14.1 Introduction 310
14.2 The Surge in Cyberterrorism 310
14.3 Background 311
14.4 Methodology Used 314
14.5 Effects of Cyberterrorism on Society and Government 315
14.6 Techniques and Methods Used for Cyberterrorism 317
14.7 Countries Affected the Most by Cyberterrorism 320
14.8 Ukraine and Russia War and Cyberterrorism 321
14.9 Combating Cyberterrorism 324
14.10 Conclusion 327
15 Freedom of Speech and Expression on Social Media--A Comparison of India and China 331
Sanyogita Singh and Vikram Singh
15.1 Introduction 332
15.2 Review of Literature 336
15.3 Online Speech Regulations--India vs. China 341
15.4 Intermediary Responsibilities--India vs. China 343
15.5 Conclusion 346
16 Environment and Cybercrime in the World: Mitigating the Impact of Cybercrime on the Environment 351
Pracheta Rathore and Jai Malaviya
16.1 Introduction 352
16.2 Impact of Cybercrime on the Environment 353
16.3 Mitigating the Impact of Cybercrime 358
16.4 Future of the Environment and Cybercrime 364
16.5 Conclusion 368
17 Face Recognition Based on Smart Attendance System Using Python 373
P. Monisha, Prakash N., E. Udayakumar, Tamilselvan S. and Kumareshan N.
17.1 Introduction 374
17.2 Methodology 376
17.3 Face Database 379
17.4 Implementation of CNN and SVM Algorithm 382
17.5 Features and Benefits Features of the System 388
17.6 Conclusion 389
References 390
Index 393
