
Digital Immune System
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Equip yourself with the knowledge to build a resilient digital infrastructure by understanding how the digital immune system leverages advanced technologies to proactively defend against cyber threats.
The concept of the digital immune system represents a significant advancement in cybersecurity, reflecting the industry's shift toward more intelligent and adaptive defense mechanisms. Drawing inspiration from biological immune systems, the digital immune system offers a solution that naturally adapts and responds to evolving threats. This book explores this evolving landscape, focusing on the integration of advanced technologies like artificial intelligence, machine learning, and automation to build resilient digital infrastructures. It delves into how these technologies can create a self-sustaining ecosystem that detects, responds to, and mitigates cyber threats in real-time and highlights the significance of predictive analytics and behavioral analysis in identifying potential threats before they materialize. Through case studies and real-world examples, the book demonstrates how organizations have successfully implemented digital immune systems to protect their assets and maintain operational integrity in an increasingly hostile digital environment. Additionally, the book addresses the challenges and ethical considerations involved in deploying a digital immune system. It discusses the balance between security and privacy, the potential for false positives, and the need for transparency in automated decision-making processes. By providing a comprehensive overview of the current state and prospects of digital immunity, the book serves as a crucial resource for cybersecurity professionals, IT leaders, and anyone interested in understanding the next-generation of digital defense mechanisms.
Readers will find the book: Introduces the emergence of the digital immune system; Discusses different applications of the digital immune system across various industries; Comprehensively covers the fundamentals of the digital immune system for different domains, presenting state-of the-art analysis and real-world case studies; Examines the importance of a proactive approach to cybersecurity, emphasizing the need for organizations to move beyond traditional reactive measures.
Audience
Research scholars in computer science and AI, IT professionals, network administrators, cybersecurity and blockchain technology experts, engineering students and government research agencies looking to the future of cybersecurity.
More details
Other editions
Additional editions

Persons
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.
Content
Series Preface xxi
Preface xxiii
Acknowledgements xxvii
Part 1: Digital Immune System: Principles 1
1 Digital Immune System Approach Toward the Impact of Gig Faculty on Organizational Learning Within Higher Education Institutes 3
Nimisha Singh, Sonam Gupta and Anshu Yadav
1.1 Introduction 4
1.2 Literature Review 5
1.3 Methodology 8
1.4 Discussion and Conclusion 15
1.5 Conclusion: Underinvestment in Training, Professional Development, and Quality Assurance 16
1.6 Future Scope 17
References 20
2 The Economics of Implementing Digital Immune Systems 23
Ritesh Kumar Dubey and Prince Bhatia
2.1 Introduction 24
2.2 Economics of Implementing a Digital Immune System 27
2.3 Evolving Landscape of Digital Immune Systems 31
2.4 Conclusion 34
References 36
3 Blockchain-Based Digital Immune System for IoT Security with Adaptive Threat Detection and Automated Response 37
Chandra Priya Jayabal and Sujata Priyambada Dash
3.1 Introduction 38
3.2 Essential DIS Core Concepts 38
3.3 Related Works 40
3.4 Methodology 41
3.5 Experimental Setup 52
3.6 Conclusion and Future Scope 56
References 57
4 Blockchain Technology's Potential Use in Decentralized Financial Services 59
Dileep Kumar Murala
4.1 Introduction 60
4.2 Related Works 64
4.3 Decentralized Finance Promises 68
4.4 The Main Business Models in Decentralized Finance 70
4.5 Tools, Methods, Services, and Blockchain-Based Financial Services Applications 73
4.6 Research Proposition 78
4.7 Limitations and Feature Scope 85
4.8 Conclusion 87
References 88
5 A Self-Tuning Digital Immune Cybersecurity Model for Manufacturing Industry 4.0 93
Vasamsheti Adarsh, Sashikala Parimi and Vaibhav Mishra
5.1 Introduction: Cybersecurity and Manufacturing Industry 4.0 in the Fourth Industrial Revolution 94
5.2 Significant Cybersecurity Challenges in Manufacturing Industry 4.0 95
5.3 Increased Attack Surface 96
5.4 Legacy Systems and Insecure Networks 96
5.5 Third Industrial Revolution Machine Control Systems - Industrial Control Systems and Supervisory Control and Data Acquisition Security 97
5.6 Supply Chain Vulnerabilities 98
5.7 Virus 98
5.8 Types of Malwares 98
5.9 Data Privacy and Intellectual Property Protection 99
5.10 Insider Threats 100
5.11 Challenging Stint for Cybersecurity in Manufacturing Industry 4.0 100
5.12 Self-Tuning Model 101
5.13 Self-Tuning Model Application and Functionality 103
5.14 Self-Tuning Model and Industry 4.0 103
5.15 Applications for Self-Tuning Models in Manufacturing Industry 4.0 105
5.16 Self-Tuning Model and Cybersecurity 105
5.17 Digital Immune System 107
5.18 Key Roles of Cybersecurity in the Digital Immune System 109
5.19 Self-Tuning Model Integrated into a Digital Immune System 110
5.20 Proposed Digital Immune Model 112
5.21 Conceptual Model Integrating Digital Immune Systems, Self-Tuning Models, Cybersecurity, and Manufacturing Industry 4.0 113
5.22 Interdependence of Cybersecurity, Self-Tuning Model, and Digital Immune System 114
5.23 Conclusion 116
References 116
Part 2: Digital Immune System: Applications 121
6 Integrating GANs for Enhanced Phishing Detection in Digital Immune Systems 123
Sherwin Akshay J. G., Hari Varshan S. R., Radhika G. and Radhika N.
6.1 Introduction 124
6.2 Literature Review 127
6.3 Rise of Machine Learning in Cybersecurity 130
6.4 Proposed Methodology 131
6.5 Comparative Analysis with Traditional Methods 133
6.6 Performance Evaluation and Benchmarking 135
6.7 Challenges and Future Trends 139
6.8 Results and Discussion 141
6.9 Conclusion 143
References 143
7 Managing Complexity in Cybersecurity: The Necessity of Human Oversight in Digital Immune Systems from Behavioral Forensic Perspective 145
Bhartrihari Pandiya and Prasad Kulkarni
7.1 Introduction 146
7.2 Literature Review 148
7.3 Case Studies Highlighting Human Oversight 151
7.4 Proposed Model 156
7.5 Conclusion 159
7.6 Managerial Implications 161
References 164
8 Ontologically Structured Methods for Evaluating Semantic Textual Similarity in Security Applications 167
Atul Gupta, Rohit Saxena, Vishal Nagar and Satyasundara Mahapatra
8.1 Introduction 168
8.2 Related Work Based on Topological Methodology 169
8.3 Methods of Semantic Similarity Computation 170
8.4 Hybrid Approach 173
8.5 String-Based Similarity 174
8.6 Similarity Based on Terms 175
8.7 Proposed Methodology 176
8.8 Results 178
8.9 Software Used for Computing Semantic Similarity 178
8.10 Conclusion 179
References 179
9 Building Human-Centric Cyber Resilience - The Role of HR Practices 183
Preshita Neha Tudu, Aparna Rani, Steffi L. and Chavali Akhila
9.1 Introduction 183
9.2 Cybersecurity and Cyber Resilience - Different or Same? 186
9.3 Does Cyber Resilience Bolster an Organization's Cybersecurity? 188
9.4 The Evolving Role of Human Resources in Cyber Resilience and Data Protection 190
9.5 The Role of Human Resources in Building Cyber Resilient Organizations 193
9.6 The Future and Challenges of Human Resources and Cyber Resilience 203
9.7 Conclusion 206
References 207
10 Blockchain-Based Cybersecurity: A New Era of Data Protection 211
Sagiraju Harinadharaju, Manjunadh Muvva, Bvv Satyanarayana, Rithish Abinav and Pooja Mishra
10.1 Introduction 211
10.2 Fundamentals of Blockchain Technology 213
10.3 Blockchain for Data Security 216
10.4 Real-World Case Studies and Applications 218
10.5 Integration with Emerging Technologies 220
10.6 Economic, Environmental, and Social Implications 220
10.7 Regulatory, Legal, and Compliance Considerations 222
10.8 Challenges and Future Research Directions 222
10.9 Conclusions and Future Outlooks 223
References 225
Part 3: Digital Immune System: Novel Practices 229
11 Blockchain Technology and Intelligent Networking for the Metaverse 231
Dileep Kumar Murala, Pradosh Kumar Gantayat, Sandeep Kumar Panda and K. Vara Prasada Rao
11.1 Introduction 232
11.2 Blockchain for the Metaverse 233
11.3 Review of Existing Literature 240
11.4 Smart Network Architecture Using Blockchain 245
11.5 Blockchain Meets Intelligent Networking in the Metaverse 251
11.6 Challenges and Future Scope 256
11.7 Conclusion 258
References 259
12 Role of AI in Digital Immune Systems 269
Sanjay Fuloria
12.1 Introduction 270
12.2 Origin of Digital Immune Systems 271
12.3 Underlying Principles of Digital Immune Systems 272
12.4 Artificial Intelligence's Expanding Role in Cybersecurity 273
12.5 Key Machine Learning Approaches in Digital Immune Systems 275
12.6 Deep Learning and Advanced Threat Identification 276
12.7 Artificial Immune Systems and Intrusion Detection 277
12.8 Real-Time Threat Intelligence and Automated Orchestration 278
12.9 Practical Examples and Case Studies 279
12.10 Core Implementation Challenges 280
12.11 Regulatory Constraints 281
12.12 Emerging Horizons and Research Directions 282
12.13 Federated Learning and Edge-Based AI 282
12.14 Harmonizing Automated Systems and Human Expertise 283
References 286
13 AI-Powered Cybersecurity for Next-Generation Threats 289
Suryadeep Kumar Mahto, Bharat Singh, Nidhi Kushwaha and Rajiv Kumar
13.1 Introduction 290
13.2 Overview of Digital Immune Systems 290
13.3 Key Machine Learning Algorithms for Digital Immunity 294
13.4 Key Artificial Intelligence-Driven Capabilities in Digital Immune Systems 296
13.5 Case Studies: Machine Learning-Powered Intrusion Detection Systems 300
13.6 Conclusion 302
References 302
14 Building Adaptive Digital Immune Systems: A Framework for Large-Scale Organizational Resilience 305
Shikha Gupta, Rajeev Kumar Ray, Amit Singh and Anuj Pal Kapoor
14.1 Introduction 306
14.2 Framework to Outcomes: Measuring Digital Immune Systems Effectiveness 307
14.3 Dimensions of Scalability in Digital Immune Systems 309
14.4 Architectural Principles for Scalable Digital Immune Systems 310
14.5 Data Governance and Analytics at Scale 312
14.6 Organizational Structures and Governance for Scaled Digital Immune Systems 314
14.7 Implementation Strategies for Enterprise-Scale Digital Immune Systems 316
14.8 Adapting Digital Immune Systems to Future Challenges and Technological Shifts 318
14.9 Conclusion 319
References 320
15 Blockchain-Based Drug Authentication: Leveraging zk-SNARKs and IPFS for Enhanced Security 323
R. M. Sabriesh Ram Kumar, L.R.S. Harjith, Binil Rohaan, Raghul Gandhi and Pooja Mishra
15.1 Introduction 324
15.2 Understanding Blockchain 325
15.3 Security in Digital Systems 327
15.4 Data Security in Blockchain 327
15.5 Introduction to Interplanetary File Systems 328
15.6 Introduction to Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge 329
15.7 Need for Blockchain in Drug Traceability 331
15.8 Implementation of Blockchain-Based Drug Traceability System 332
15.9 Advantages and Challenges of Blockchain in Drug Traceability 337
15.10 Future Scope 339
References 340
16 Privacy-Preserving and Scalable Authentication Using zk-SNARK-Based ZKP Blockchain PKI 343
Amrutanshu Panigrahi, Bibhuprasad Sahu, Abhilash Pati and Subrata Chowdhury
16.1 Introduction 344
16.2 Literature Survey 346
16.3 Background Study 350
16.4 Proposed Methodology 356
16.5 Workflow of the Proposed Public Key Infrastructure 359
16.6 Result and Analysis 362
16.7 Conclusion 365
References 366
Index 369
1
Digital Immune System Approach Toward the Impact of Gig Faculty on Organizational Learning Within Higher Education Institutes
Nimisha Singh1*, Sonam Gupta2 and Anshu Yadav2
1Department of Management Studies, Indian Institute of Information Technology - Allahabad, Prayagraj, India
2School of Business Management, CSJM University, Kanpur, India
Abstract
This chapter explores the growing impact of gig faculty on organizational learning in higher education institutions (HEIs). Based on a digital immune system (DIS) framework, the chapter describes how an increasing presence of contingent faculty affects the capacity and adaptability of HEIs in learning. The rise in the usage of gig faculty offers both opportunities and challenges; hence, careful assessment is required to understand whether they will provide an opportunity for continuous learning and innovation. This research is intended to understand how HEIs can effectively integrate this new academic labor model. A mixed-methods approach has been used, with a combination of data consisting of both quantitative details gathered from the survey in respect of the perceptions that HEIs have regarding the integration process, provision of resources, and effects on organizational learning, while qualitative data was obtained through focus groups both by gig faculty, as well as traditional faculty. Focus groups examine the lived experiences of these diverse faculty populations, specifically in terms of curriculum design, coaching, team-based learning, and institutional environment. Gig faculty engagement, support structures, and organizational learning are likely to be a complicated issue. Some of the advantages associated with the use of gig faculty include diversity in the skill base, efficient delivery of curriculum, and economies of scale. Other expected challenges comprise equitable workload allocation, pedagogical quality, and the imperative of robust support at the institution for gig faculty. The result will explain these interplays where the positive, as well as the negative implications of these forces, are established to impact organizational learning in HEIs amid the digital change. Ultimately, the research shall help, in return, to further add to the comprehension of the changing nature of the academic workforce and its implications on institutional learning, thus providing first-hand insights into how to engage higher education managers with the complexities surrounding this novel terrain.
Keywords: Gig faculty, digital immune system, higher education institute, organizational learning, academic workforce, digital transformation, hybrid learning, resource allocation
1.1 Introduction
The global higher education landscape is transforming profoundly due to accelerating technological advancements and changing student needs. This shift is characterized by the growing incorporation of gig faculty into the academic workforce. The gig faculty with flexible, part-time employment arrangements bring in a new approach to address the needs of staffing and teaching expertise diversification within higher education institutions (HEIs). It is an emerging trend with considerable opportunities and challenges, particularly on the organizational learning side, which is the backbone of institutional vitality and success. This research ventures into this largely unexplored territory by investigating the delicate dance between gig faculty, the institutional context of HEIs, and organizational learning, all within the context of a digital immune system (DIS) framework (Bennett, 2020) [2].
The DIS framework brings a new perspective on HEIs' adaptive ability toward the entry of gig faculty. This framework draws similar parallels with an immune system; hence, in an organizational context, it metaphorically describes complex processes of learning and adaptation by an organization like how an immune system distinguishes and controls pathogens. Wherein the immunological system differentiates and defeats the pathogens, the HEI must produce effective internal "mechanisms" for appropriate knowledge sharing and resource allocation when dealing with fast-changing skill requirements and knowledge inputs through gig faculty. It aims to understand the mechanisms that currently exist for the efficacy of how gig faculty is integrated into this "immune system," seeking its vulnerabilities. More importantly, this paper makes the point that it believes the good integration of gig faculty within the academic fabric is inextricably tied to the organizational learning capacity of the HEI. It allows the institution to be adaptive, creative, and better positioned to exploit the unique skills and perspectives that gig faculty brings to campus. A healthy learning environment will facilitate an easy acquisition of new knowledge and expertise and thus improve institutional effectiveness and teaching quality. On the other hand, a loosely designed or inefficacious learning system could lead to segmented learning experiences; increased workload in traditional faculty; and, more importantly, quality and overall impacts on the institution (Marginson, 2016) [8].
This research will examine how organizational learning works with gig faculty integration. Those are the main areas of focus: effective onboarding and training programs for gig faculty, well-defined channels and collaboration platforms between gig and traditional faculty, the designing of structured knowledge-sharing initiatives, and strong quality control measures to ensure high pedagogical standards prevail. However, the study also considers whether institutional culture influences organizational learning outcomes as shaped by using resource allocation strategies and leadership styles. In this regard, significant issues would be workload management and equity concerns. Integrating gig faculty should not unduly burden traditional faculty, nor should it structurally worsen inequalities in learning opportunities for students. The effectiveness of gig-faculty integration is at times best understood through awareness of subtle trade-offs between cost-effectiveness and quality. By doing so, it is expected that the study will reveal the kinds of conditions that are favorable to gig faculty's positive contribution to organizational learning within HEIs. It can foster change in how administrators, faculty members, and policymakers understand the transformations sweeping the academic workforce, given the demands of the digital age. Ultimately, this research aims to provide a framework for HEIs to optimize the integration of gig faculty, ensuring they foster institutional growth and sustainability (Weller, 2011) [12].
1.2 Literature Review
The landscape of higher education is undergoing a profound transformation, driven by technological advancements, evolving student expectations, and shifting economic realities. This literature review aims to look through the intersection of several key themes that shape such evolution: the rise of gig faculty, the development of digital immunity, the imperative for organizational learning, and all the challenges, as well as the opportunities that derive from the current digital transformation HEIs provide (Brown, 1991; Senge, 1990) [18, 19]. We must discuss ideas regarding the implications of a teaching workforce: knowledge-sharing innovation, adaptability-hybrid resources, distribution-talent collaboration, and, above all, quality.
Adjunct and part-time instructors who are naturally contingent have, to a greater extent, relegated the traditional tenured faculty into being the norm, and such teachers are being called the "gig faculty" (Kezar, 2014; Kezar and Maxey, 2013) [10, 11]. These factors include the cost-containment pressures put on HEIs, increasing demands for specialized expertise, and academics' desires for greater flexibility in the workplace (Flaherty, 2018; Rhoads and Rhoads, 2017; Alstete, 2015) [5, 7, 9]. The gig economy, on the one hand, provides benefits in terms of accessing diverse talent and greater institutional agility. On the other hand, the gig economy also brings along job insecurities, wage disparities, and denigration of collective governance due to the risks that it poses (Gappa, 2018) [6]. Consider knowledge sharing and organizational learning. For example, the precarious employment status of gig faculty impacts the integration of gig faculty into the academic community and restricts participation in collaborative projects and knowledge exchange activities (Trowler and Cooper, 2002) [16]. Higher educational institutions, with the rapidly advancing speed of technology and dependence on digital infrastructure, are more vulnerable to cyberattacks, data breaches, and system failures. The concept of a "digital immune system" has emerged as a framework for enhancing organizational resilience in the digital age (Gartner, 2022) [1]. A DIS involves a combination of technologies, processes, and practices designed to proactively identify, prevent, and respond to digital threats. For HEIs, an effective DIS plays a major role in safeguarding students' sensitive data, ensuring the continuance of teaching and learning activities, and safeguarding the reputation of an institution (Alstete, 2019) [3]. Organizational learning and adaptation in the implementation of a DIS is important because HEIs need to acquire new skills and competencies associated with cybersecurity, data governance, and digital risk management (Nonaka, 1994) [17].
The digital transformation of...
System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePub works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our ebook Help page.