Digital Immune System

Sujata Priyambada Dash, PhD is an Assistant Professor in the Department of Management at the Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India. She has published one edited book, several book chapters, and numerous articles in international journals and conferences. Vaibhav Mishra, PhD is an Associate Professor at the ICFAI Business School Hyderabad, Telangana, India. He has published research articles in international journals of repute and edited books on blockchain, AI, and machine learning. Bijeta Shaw, PhD is an Assistant Professor in the Operations and IT Department at ICFAI Business School Hyderabad, Telangana, India. She has authored numerous research articles in international journals and coordinated conferences. Sandeep Kumar Panda, PhD is a Professor and the Associate Dean in the School of Science and Technology at the ICFAI Foundation for Higher Education Hyderabad, Telangana, India. He has published six edited books, several book chapters, and more than 80 articles in international journals and conferences. S. Balamurugan, PhD is the Director of Research and Development at Intelligent Research Consultancy Services. He has published about 50 books, more than 300 articles in international journals and conferences, and 55 patents.

• Series Preface xxiPreface xxiiiAcknowledgements xxviiPart 1: Digital Immune System: Principles 11 Digital Immune System Approach Toward the Impact of Gig Faculty on Organizational Learning Within Higher Education Institutes 3Nimisha Singh, Sonam Gupta and Anshu Yadav1.1 Introduction 41.2 Literature Review 51.3 Methodology 81.4 Discussion and Conclusion 151.5 Conclusion: Underinvestment in Training, Professional Development, and Quality Assurance 161.6 Future Scope 17References 202 The Economics of Implementing Digital Immune Systems 23Ritesh Kumar Dubey and Prince Bhatia2.1 Introduction 242.2 Economics of Implementing a Digital Immune System 272.3 Evolving Landscape of Digital Immune Systems 312.4 Conclusion 34References 363 Blockchain-Based Digital Immune System for IoT Security with Adaptive Threat Detection and Automated Response 37Chandra Priya Jayabal and Sujata Priyambada Dash3.1 Introduction 383.2 Essential DIS Core Concepts 383.3 Related Works 403.4 Methodology 413.5 Experimental Setup 523.6 Conclusion and Future Scope 56References 574 Blockchain Technology’s Potential Use in Decentralized Financial Services 59Dileep Kumar Murala4.1 Introduction 604.2 Related Works 644.3 Decentralized Finance Promises 684.4 The Main Business Models in Decentralized Finance 704.5 Tools, Methods, Services, and Blockchain-Based Financial Services Applications 734.6 Research Proposition 784.7 Limitations and Feature Scope 854.8 Conclusion 87References 885 A Self-Tuning Digital Immune Cybersecurity Model for Manufacturing Industry 4.0 93Vasamsheti Adarsh, Sashikala Parimi and Vaibhav Mishra5.1 Introduction: Cybersecurity and Manufacturing Industry 4.0 in the Fourth Industrial Revolution 945.2 Significant Cybersecurity Challenges in Manufacturing Industry 4.0 955.3 Increased Attack Surface 965.4 Legacy Systems and Insecure Networks 965.5 Third Industrial Revolution Machine Control Systems – Industrial Control Systems and Supervisory Control and Data Acquisition Security 975.6 Supply Chain Vulnerabilities 985.7 Virus 985.8 Types of Malwares 985.9 Data Privacy and Intellectual Property Protection 995.10 Insider Threats 1005.11 Challenging Stint for Cybersecurity in Manufacturing Industry 4.0 1005.12 Self-Tuning Model 1015.13 Self-Tuning Model Application and Functionality 1035.14 Self-Tuning Model and Industry 4.0 1035.15 Applications for Self-Tuning Models in Manufacturing Industry 4.0 1055.16 Self-Tuning Model and Cybersecurity 1055.17 Digital Immune System 1075.18 Key Roles of Cybersecurity in the Digital Immune System 1095.19 Self-Tuning Model Integrated into a Digital Immune System 1105.20 Proposed Digital Immune Model 1125.21 Conceptual Model Integrating Digital Immune Systems, Self-Tuning Models, Cybersecurity, and Manufacturing Industry 4.0 1135.22 Interdependence of Cybersecurity, Self-Tuning Model, and Digital Immune System 1145.23 Conclusion 116References 116Part 2: Digital Immune System: Applications 1216 Integrating GANs for Enhanced Phishing Detection in Digital Immune Systems 123Sherwin Akshay J. G., Hari Varshan S. R., Radhika G. and Radhika N.6.1 Introduction 1246.2 Literature Review 1276.3 Rise of Machine Learning in Cybersecurity 1306.4 Proposed Methodology 1316.5 Comparative Analysis with Traditional Methods 1336.6 Performance Evaluation and Benchmarking 1356.7 Challenges and Future Trends 1396.8 Results and Discussion 1416.9 Conclusion 143References 1437 Managing Complexity in Cybersecurity: The Necessity of Human Oversight in Digital Immune Systems from Behavioral Forensic Perspective 145Bhartrihari Pandiya and Prasad Kulkarni7.1 Introduction 1467.2 Literature Review 1487.3 Case Studies Highlighting Human Oversight 1517.4 Proposed Model 1567.5 Conclusion 1597.6 Managerial Implications 161References 1648 Ontologically Structured Methods for Evaluating Semantic Textual Similarity in Security Applications 167Atul Gupta, Rohit Saxena, Vishal Nagar and Satyasundara Mahapatra8.1 Introduction 1688.2 Related Work Based on Topological Methodology 1698.3 Methods of Semantic Similarity Computation 1708.4 Hybrid Approach 1738.5 String-Based Similarity 1748.6 Similarity Based on Terms 1758.7 Proposed Methodology 1768.8 Results 1788.9 Software Used for Computing Semantic Similarity 1788.10 Conclusion 179References 1799 Building Human-Centric Cyber Resilience – The Role of HR Practices 183Preshita Neha Tudu, Aparna Rani, Steffi L. and Chavali Akhila9.1 Introduction 1839.2 Cybersecurity and Cyber Resilience – Different or Same? 1869.3 Does Cyber Resilience Bolster an Organization’s Cybersecurity? 1889.4 The Evolving Role of Human Resources in Cyber Resilience and Data Protection 1909.5 The Role of Human Resources in Building Cyber Resilient Organizations 1939.6 The Future and Challenges of Human Resources and Cyber Resilience 2039.7 Conclusion 206References 20710 Blockchain-Based Cybersecurity: A New Era of Data Protection 211Sagiraju Harinadharaju, Manjunadh Muvva, Bvv Satyanarayana, Rithish Abinav and Pooja Mishra10.1 Introduction 21110.2 Fundamentals of Blockchain Technology 21310.3 Blockchain for Data Security 21610.4 Real-World Case Studies and Applications 21810.5 Integration with Emerging Technologies 22010.6 Economic, Environmental, and Social Implications 22010.7 Regulatory, Legal, and Compliance Considerations 22210.8 Challenges and Future Research Directions 22210.9 Conclusions and Future Outlooks 223References 225Part 3: Digital Immune System: Novel Practices 22911 Blockchain Technology and Intelligent Networking for the Metaverse 231Dileep Kumar Murala, Pradosh Kumar Gantayat, Sandeep Kumar Panda and K. Vara Prasada Rao11.1 Introduction 23211.2 Blockchain for the Metaverse 23311.3 Review of Existing Literature 24011.4 Smart Network Architecture Using Blockchain 24511.5 Blockchain Meets Intelligent Networking in the Metaverse 25111.6 Challenges and Future Scope 25611.7 Conclusion 258References 25912 Role of AI in Digital Immune Systems 269Sanjay Fuloria12.1 Introduction 27012.2 Origin of Digital Immune Systems 27112.3 Underlying Principles of Digital Immune Systems 27212.4 Artificial Intelligence’s Expanding Role in Cybersecurity 27312.5 Key Machine Learning Approaches in Digital Immune Systems 27512.6 Deep Learning and Advanced Threat Identification 27612.7 Artificial Immune Systems and Intrusion Detection 27712.8 Real-Time Threat Intelligence and Automated Orchestration 27812.9 Practical Examples and Case Studies 27912.10 Core Implementation Challenges 28012.11 Regulatory Constraints 28112.12 Emerging Horizons and Research Directions 28212.13 Federated Learning and Edge-Based AI 28212.14 Harmonizing Automated Systems and Human Expertise 283References 28613 AI-Powered Cybersecurity for Next-Generation Threats 289Suryadeep Kumar Mahto, Bharat Singh, Nidhi Kushwaha and Rajiv Kumar13.1 Introduction 29013.2 Overview of Digital Immune Systems 29013.3 Key Machine Learning Algorithms for Digital Immunity 29413.4 Key Artificial Intelligence-Driven Capabilities in Digital Immune Systems 29613.5 Case Studies: Machine Learning-Powered Intrusion Detection Systems 30013.6 Conclusion 302References 30214 Building Adaptive Digital Immune Systems: A Framework for Large‐Scale Organizational Resilience 305Shikha Gupta, Rajeev Kumar Ray, Amit Singh and Anuj Pal Kapoor14.1 Introduction 30614.2 Framework to Outcomes: Measuring Digital Immune Systems Effectiveness 30714.3 Dimensions of Scalability in Digital Immune Systems 30914.4 Architectural Principles for Scalable Digital Immune Systems 31014.5 Data Governance and Analytics at Scale 31214.6 Organizational Structures and Governance for Scaled Digital Immune Systems 31414.7 Implementation Strategies for Enterprise-Scale Digital Immune Systems 31614.8 Adapting Digital Immune Systems to Future Challenges and Technological Shifts 31814.9 Conclusion 319References 32015 Blockchain-Based Drug Authentication: Leveraging zk-SNARKs and IPFS for Enhanced Security 323R. M. Sabriesh Ram Kumar, L.R.S. Harjith, Binil Rohaan, Raghul Gandhi and Pooja Mishra15.1 Introduction 32415.2 Understanding Blockchain 32515.3 Security in Digital Systems 32715.4 Data Security in Blockchain 32715.5 Introduction to Interplanetary File Systems 32815.6 Introduction to Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge 32915.7 Need for Blockchain in Drug Traceability 33115.8 Implementation of Blockchain-Based Drug Traceability System 33215.9 Advantages and Challenges of Blockchain in Drug Traceability 33715.10 Future Scope 339References 34016 Privacy-Preserving and Scalable Authentication Using zk-SNARK‐Based ZKP Blockchain PKI 343Amrutanshu Panigrahi, Bibhuprasad Sahu, Abhilash Pati and Subrata Chowdhury16.1 Introduction 34416.2 Literature Survey 34616.3 Background Study 35016.4 Proposed Methodology 35616.5 Workflow of the Proposed Public Key Infrastructure 35916.6 Result and Analysis 36216.7 Conclusion 365References 366Index 369