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English
Wiley-Scrivener
05 March 2025
This book explores the core principles, technological advancements, and legal challenges of Industry 5.0’s digital transformation.

Industry 5.0 has enhanced the operational efficiency of the entire manufacturing process by incorporating multiple emerging technologies; however, high-tech cybercrimes have prompted legal scholars worldwide to rethink the fundamental principles of technology and law.

The Techno-Legal Dynamics of Cyber Crimes in Industry 5.0 shows how advanced technologies, such as artificial intelligence, the Internet of Things, and robotics, are integrated within manufacturing environments. It explores the intricate relationship between legal systems and technological advancements and addresses the rise of cybercrime following Industry 5.0’s digital transformation. Focusing on the interaction between technology and law, the book investigates current cyberlaw issues and solutions. It draws insights from diverse experts, including scholars, legal professionals, and industry leaders, emphasizing effective regulations to minimize cyber threat risks for Industry 5.0.

By adopting an international viewpoint, this book sheds light on various dimensions of nascent cybercrimes and legislative efforts worldwide aimed at governing them effectively.

Audience

This book should be read by legal scholars, lawyers, judges, legal and information technology researchers, cybersecurity experts, computer and software engineers, and students of law and technology. Regulators, policymakers, international trade specialists, and business executives should read it as well.
Edited by:   , , , , , , ,
Imprint:   Wiley-Scrivener
Country of Publication:   United States
Weight:   680g
ISBN:   9781394242146
ISBN 10:   139424214X
Series:   Industry 5.0 Transformation Applications
Pages:   416
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
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

Gagandeep Kaur, PhD, is an assistant professor of law at the School of Law, University of Petroleum & Energy Studies, Dehradun, India. She specializes in cyber law, information technology law, cybercrimes, and digital copyright and has over 14 years of teaching and research experience at prestigious universities. She has authored five law books, published more than 100 articles in peer-reviewed journals, and received numerous awards. Tanupriya Choudhury, PhD, is a professor and associate dean of research at Graphic Era (Deemed to be University), Dehradun, India. He has authored more than 150 research papers and filed 25 patents. He serves as the Honorary Secretary of the Indian Engineering Teachers’ Association, a Senior Advisor in the INDO-UK Confederation of Science, Technology, and Research Ltd., London, UK, and the International Association of Professional and Fellow Engineers, Delaware, USA. S. Balamurugan, PhD, is the Director of Research and Development at Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamil Nadu, India. He also holds the position of Director at the Albert Einstein Engineering and Research Labs (AEER Labs) and Vice Chairman of the Renewable Energy Society of India (RESI). He has published over 50 books, more than 200 international journal articles and conference papers, and has 35 patents.

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