Preface xvii
Mariya OUAISSA, Hemant Kumar SAINI, Pankaj BHAMBRI and Mariyam OUAISSA
Chapter 1. Systemic Risks in Contemporary AI Systems: Misinformation, Model Dependency and Supply-Chain Vulnerabilities 1
Saba FATIMA, C. Kishor Kumar REDDY, P.R. ANISHA, Umaima Qader MOHIUDDIN and Jothi PARANTHAMAN
1.1. Introduction 2
1.2. Literature survey 3
1.3. Data as a strategic asset in modern digital systems 5
1.4. Threat landscape: AI systems under siege 7
1.5. Data abuse in AI pipelines 11
1.6. Ethical dilemmas across the AI lifecycle 14
1.7. Third-party model risks 24
1.8. AI and digital twins under siege 27
1.9. Combating dark intelligence: cyber resilience framework 28
1.10. Results and discussion 32
1.11. Conclusion 32
1.12. References 33
Chapter 2. Data Abuse, Ethics Dilemmas, Supply Chain Poisoning and Third-Party Model Risks in the Age of AI Misinformation 37
Shailja TRIPATHI and Laxmi Pandit VISHWAKARMA
2.1. Introduction 38
2.2. Nature of AI and AI misinformation 39
2.3. Ethical dilemma generated by AI misinformation 41
2.4. Strategies for reducing ethical dilemmas caused by AI misinformation 49
2.5. Conclusion 56
2.6. Limitations and future scope 57
2.7. References 57
Chapter 3. The Data Poisoning Problem in Digital Twin Intelligence: Foundations, Risks and Probabilistic Defense Strategies 65
M'kouka BTISSAM, Zahedi CHAYMAA, Mariya OUAISSA and Mariyam OUAISSA
3.1. Introduction 65
3.2. Digital twin foundations 66
3.3. Data poisoning problem 68
3.4. Risks for digital twins 70
3.5. Probabilistic defense strategies 72
3.6. Conceptual framework for data poisoning detection in digital twins 74
3.7. Future directions and conclusion 77
3.8. References 78
Chapter 4. Adversarial Exploitation Lifecycle (AEL): Unveiling Dark Intelligence and Synthetic Identity Manipulation in Cognitive Security Systems 81
Bebesh TRIPATHY, Apoorwa SINGH, Parul SOOD and ANNUPRIYA
4.1. Introduction 82
4.2. Literature review 84
4.3. Conceptual foundations of synthetic identity and dark intelligence 87
4.4. Anatomy of the adversarial exploitation lifecycle (AEL) 93
4.5. Emerging attack strategies on synthetic identity systems 98
4.6. Result and evaluation 98
4.7. Challenges and limitations 102
4.8. Future outcomes 102
4.9. Conclusion 103
4.10. References 104
Chapter 5. Detecting Dark Intelligence in Cyber-Physical Digital Twins Using Self-Learning AI and Cognitive Security Analytics 107
Preeti CHUGH, Imene Elhachfi ESSOUSSI, BABITA, SHUBNEET and Anushka Raj YADAV
5.1. Introduction and motivation 108
5.2. CPDT and self-learning fundamentals 111
5.3. Dark intelligence threat extraction 114
5.4. Stealth attack detection in twins 117
5.5. Sensor and log analysis in CPDTs 120
5.6. Model poisoning classification 122
5.7. Twin vulnerability assessment 126
5.8. Advanced self-learning techniques 128
5.9. Case studies and evaluations 131
5.10. Challenges and ethical considerations 133
5.11. Conclusion 136
5.12. References 137
Chapter 6. A Hybrid Transformer Automata Framework for Behavioral Anomaly Detection of FraudGPT and Dark LLM Threats 143
Ankita PATIL, Mritunjay Kr. RANJAN, Pankaj PATIL, Nitin MALI, Rajashri RIKAME and Disha ARSUDE
6.1. Introduction 144
6.2. Related work 147
6.3. Problem statement 148
6.4. Methodology 150
6.5. System architecture 158
6.6. Result and discussion 158
6.7. Conclusion 163
6.8. Future work 164
6.9. References 164
Chapter 7. Trusted Twin Security Architecture (TTSA): Enabling Autonomous Risk Mitigation and Cognitive Trust in AI-Driven Digital Twin Systems 169
Bebesh TRIPATHY, Sudhanshu SHARMA and Pritesh TRIPATHY
7.1. Introduction 170
7.2. Literature review 172
7.3. Threat landscape in digital twin and autonomous systems 176
7.4. Autonomous risk mitigation framework 178
7.5. Fundamentals of trusted twin security architecture 183
7.6. Result and evaluation 187
7.7. Challenges and limitations 190
7.8. Future outcomes 190
7.9. Conclusion 191
7.10. References 192
Chapter 8. Hybrid Cognitive-Explainable AI Architecture for Proactive Cyber Defense in Multi-Layer Networks 195
Vaibhav SONAJE, Pranjal SONJE, Disha ARSUDE, Rajashri RIKAME, Ankita PATIL and Mritunjay Kr. RANJAN
8.1. Introduction 195
8.2. Related study 198
8.3. Problem statement 199
8.4. Methodology 202
8.5. System architecture 210
8.6. Result and discussion 210
8.7. Conclusion 214
8.8. Future work 214
8.9. References 215
Chapter 9. Adaptive Cyber Resilience via Bio-Inspired Computing: An ACRF-Based Autonomous Immune-System Defense Model 219
Disha ARSUDE, Mritunjay Kr. RANJAN, Ramdas GORE, Kalyani PURKAR, Ankita PATIL and Rajashri RIKAME
9.1. Introduction 220
9.2. Related study 223
9.3. Problem statement 225
9.4. Methodology 225
9.5. System architecture 237
9.6. Result and discussion 238
9.7. Conclusion 241
9.8. Future work 242
9.9. References 242
Chapter 10. Neuro-Cognitive ML Framework for Deepfake Detection and Spoofed Sensor Integrity in Cyber-Physical Systems 247
Rajashri RIKAME, Mritunjay Kr. RANJAN, Monali JADHAV, Sarika KONDEKAR, Disha ARSUDE and Ankita PATIL
10.1. Introduction 248
10.2. Related study 250
10.3. Problem statement 252
10.4. Methodology 252
10.5. System architecture 265
10.6. Result and discussion 265
10.7. Conclusion 269
10.8. Future work 270
10.9. References 270
Chapter 11. Explainable ML-Based Detection of Network-Based Fuzzing Attacks 273
Nadeen AHMAD, Farida EMAM, Mouza ALAMERI and Mohammed M. ALANI
11.1. Introduction 273
11.2. Related works 275
11.3. Proposed system 280
11.4. Methodology 281
11.5. Results and analysis 285
11.6. Discussion. 293
11.7. Conclusion 295
11.8. References 296
Chapter 12. A Unified Framework for Decentralized and Private Verification of Wearable Health Data using Blockchain and Zero Knowledge Proofs (ZKPs) 299
Anant UPADHIYAY and Abhishek JAIN
12.1. Introduction 300
12.2. Related work 300
12.3. Life cycle of privacy-preserving verification 303
12.4. System design and architecture 305
12.5. Implementation details 310
12.6. Cloud native integration and operational view 315
12.7. Result and discussion 318
12.8. Conclusion 323
12.9. Future work 324
12.10. References 324
Chapter 13. Identity-Centric Database Security for Resilient Cloud-Based Digital Twin Infrastructure 327
Aktham AL-YAHYA and Qasem Abu AL-HAIJA
13.1. Introduction 327
13.2. Cloud authentication mechanisms 330
13.3. Access control and identity management 334
13.4. Database security in cloud environments 338
13.5. Malware and insider threats in cloud databases 341
13.6. Case study: the Capital One data breach 343
13.7. Data-driven cloud security analytics 346
13.8. Conclusions and future directions 348
13.9. References 349
Chapter 14. Protecting Smart Grid Digital Twins from Dark Intelligence Using Firewalls and Intrusion Detection Systems 353
Akram AL-DHAFARI and Qasem Abu AL-HAIJA
14.1. Introduction 353
14.2. Smart grid architecture and threat landscape 356
14.3. Firewall technologies for smart grids 359
14.4. IDS/IPS 363
14.5. Cryptography and authentication in smart grids 366
14.6. Case study: the Ukraine power grid attack 368
14.7. Data-driven threat analytics for smart grids 370
14.8. Conclusions and future directions 372
14.9. References 373
Chapter 15. Big Data Analytics and AI-Driven Decision Support Systems for Financial Inclusion and Microfinance Risk Assessment 375
Tanvir Mahmoud HUSSEIN, Kannadasan KARUPPAIAH, Palanivel R.M., Prabu NEETHIDOSS, Wajid Ahmed ANSARI, Abdul Saleem MOHAMMED, Abdul Waheed MOHAMMED, Sivasankar PRABAHARAN and Vinoth RAMAN
15.1. Introduction 375
15.2. Theoretical foundations and conceptual framework 376
15.3. Data collection and preprocessing infrastructure 379
15.4. ML models for credit risk assessment 381
15.5. Decision support system architecture 386
15.6. Alternative data sources and their applications 388
15.7. Algorithmic fairness and bias mitigation 390
15.8. Regulatory compliance and governance 392
15.9. Case studies and empirical evidence 394
15.10. Emerging trends and future directions 396
15.11. Implementation challenges and practical considerations 398
15.12. Conclusion 403
15.13. References 404
Chapter 16. 5G/6G-Enabled V2X for Intelligent Transportation Systems: AI Security Challenges and Cyber Resilience 407
Meryem RHESDAOUI, Mariya OUAISSA, Mariyam OUAISSA and My Ahmed EL KIRAM
16.1. Introduction 407
16.2. Background on V2X and intelligent transportation systems 409
16.3. 5G and 6G as enablers of AI-driven V2X 417
16.4. AI security challenges in 5G/6G V2X systems 422
16.5. Cyber resilience principles for AI-enabled V2X 429
16.6. Conclusion 431
16.7. References 432
List of Authors 435
Index 441
