Preface -- 1 AI & IP: Ownership Rights in Industry 5.0 1 Pulkit Mogra -- 1.1 Introduction -- 1.2 Evolution of Artificial Intelligence System -- 1.3 Rights Upon the Fruits of AI: #TheConundrum -- 1.4 The Antidote to Conundrum: Work Made for Hire (WMFH) Model -- 2 Cybersecurity and Crime in Industry 4.0: An Analysis of Legal Aspects of Cybercrime 19 Jeevesh Sharma and Ashima Jain -- 2.1 Introduction -- 2.2 Industry 4.0 -- 2.3 Cybercrime in the Digital Economy -- 2.4 Cybercrime Statistics--Global Context -- 2.5 Cybersecurity -- 2.6 Legal Perspectives of Cybercrime and Their Penalty-Cases -- 2.7 Challenges of Cybersecurity -- 2.8 Conclusion -- 3 Toward an Intelligent Cybersecurity System: The Role of Machine Learning 43 Oly Mishra and Vijaya Geeta Dharmavaram -- 3.1 Introduction -- 3.2 Machine Learning Paradigms -- 3.3 Machine Learning Applications -- 3.4 Machine Learning Applications in Cybersecurity -- 3.5 Machine Learning in Cybersecurity--Few Cases -- 3.6 Issues and Limitations of Machine Learning in Cybersecurity -- 3.7 Future Directions -- 3.8 Conclusion -- 4 ATP the New-Age Threat Vector and Cyberattack Trends 55 Akashdeep Bhardwaj and Sam Goundar -- 4.1 Introducing Advanced Persistent Threats -- 4.2 New-Age APT Attacks -- 4.3 Cyberattacks Trends -- 4.4 Reconnaissance -- 4.5 Initial Compromise -- 4.6 Establishing a Foothold -- 4.7 Exfiltration -- 4.8 Consolidation -- 4.9 Covering Tracks -- 4.10 Conclusion -- 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 -- 5.2 Understanding Artificial Intelligence -- 5.3 Impact of Artificial Intelligence on Personal Data -- 5.4 General Data Protection Regulation and Artificial Intelligence -- 5.5 Right to be Forgotten: Legal and Ethical Considerations of Data Processing by an AI -- 5.6 Conclusion -- 6 Exacerbation and Combat of Cyberattacks: The Dual Paradox of Machine Learning 101 Devika Sharma and Saket Sharma -- 6.1 Introduction -- 6.2 Concept of Machine Learning -- 6.3 Technologies Involved in Machine Learning and Their Impact on Cybersecurity -- 6.4 Growing Role of Machine Learning in Cybersecurity -- 6.5 Applications of Machine Learning in Cybersecurity -- 6.6 Demerits of Using Machine Learning in Cybersecurity -- 6.7 Legal Framework for Cybersecurity in India -- 6.8 Conclusion -- 7 Hacking the System: A Deep Dive into the World of E-Banking Crime 121 Swati Gupta -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Combating E-Banking Crimes -- 7.4 E-Banking Crimes: Emerging Economies -- 7.5 Conclusion -- 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 -- 8.2 Cybercrimes via Online Dating -- 8.3 Exploring the Law of India -- 8.4 Laws Governing Dating Apps in India -- 8.5 A Ray of Hope--is Mitigation Possible -- 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 -- 10.2 Literature Review -- 10.3 Nature of Artificial Intelligence -- 10.4 Artificial Intelligence Tools for Cybersecurity -- 10.5 Legal Challenges -- 10.6 Comparison of Indian and International Law -- 10.7 Conclusion -- 10.8 Suggestions -- 11 The Illusion of Bitcoin: The Rise and Fall of a Revolutionary Cryptocurrency 237 Ravi Kant -- 11.1 Mystery of Bitcoin: An Overview -- 11.2 The Rise and Fall of Bitcoin -- 11.3 The Illusion of Bitcoin -- 11.4 Bitcoin and Cybersecurity -- 11.5 Measures to Enhance Bitcoin Security -- 11.6 Case Studies of Bitcoin Security Breaches -- 11.7 Bitcoin and the Financial Industry -- 11.8 Social and Political Implications of Bitcoin -- 11.9 Bitcoin's Role in Crime -- 11.10 The Future of Bitcoin -- 11.11 Conclusion -- 11.12 Way Forward -- 12 Cybercrime Against Women in India: Challenges and Possible Solutions 265 Avneet Kaur -- 12.1 Introduction -- 12.2 History and Origin of Cybercrimes -- 12.3 Literature Review -- 12.4 Reasons for the Growth of Cybercrimes Against Women -- 12.5 Different Types of Cybercrime Against Women -- 12.6 Implication of Cybercrimes on Women -- 12.7 Legal Provisions Against Cybercrimes -- 12.8 Provisions for Cybercrimes Under IT ACT 2000 -- 12.9 Landmark Cases in Cybercrime Against Women -- 12.10 Shortcomings in the Indian Legal System -- 12.11 Suggestions -- 13 Emerging Legal Challenges in the Artificial World of Metaverse 285 Rajesh Kumar and Megha M. Patel -- 13.1 Introduction -- 13.2 The Ideas Behind the Metaverse -- 13.3 The Application of the Metaverse in Different Industries -- 13.4 Issues and Challenges after Introducing the Metaverse -- 13.5 Approaching Metaverse Problems from a Global Perspective -- 13.6 Conclusion -- 14 Cyberterrorism: In an Era of Information Warfare 309 Mohamad Ayub Dar and Megha Ojha -- 14.1 Introduction -- 14.2 The Surge in Cyberterrorism -- 14.3 Background -- 14.4 Methodology Used -- 14.5 Effects of Cyberterrorism on Society and Government -- 14.6 Techniques and Methods Used for Cyberterrorism -- 14.7 Countries Affected the Most by Cyberterrorism -- 14.8 Ukraine and Russia War and Cyberterrorism -- 14.9 Combating Cyberterrorism -- 14.10 Conclusion -- 15 Freedom of Speech and Expression on Social Media--A Comparison of India and China 331 Sanyogita Singh and Vikram Singh -- 15.1 Introduction -- 15.2 Review of Literature -- 15.3 Online Speech Regulations--India vs. China -- 15.4 Intermediary Responsibilities--India vs. China -- 15.5 Conclusion -- 16 Environment and Cybercrime in the World: Mitigating the Impact of Cybercrime on the Environment 351 Pracheta Rathore and Jai Malaviya -- 16.1 Introduction -- 16.2 Impact of Cybercrime on the Environment -- 16.3 Mitigating the Impact of Cybercrime -- 16.4 Future of the Environment and Cybercrime -- 16.5 Conclusion -- 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 -- 17.2 Methodology -- 17.3 Face Database -- 17.4 Implementation of CNN and SVM Algorithm -- 17.5 Features and Benefits Features of the System -- 17.6 Conclusion -- References -- Index.