Edited by
Mariya Ouaissa, Cadi Ayyad University, Morocco.
Hemant Kumar Saini, Lincoln University College, Malaysia.
Pankaj Bhambri, Lincoln University College, Malaysia.
Mariyam Ouaissa, Chouaib Doukkali University, Morocco.
ISBN : 9781836691112
Publication Date : September 2026
Hardcover 480 pp
170 USD
Co-publisher
In today’s rapidly evolving digital landscape, malicious and autonomous AI systems, driven by dark intelligence and exploiting cognitive and cyber-physical vulnerabilities, pose a significant threat to interconnected AI and digital twin ecosystems. These emerging risks demand practical strategies to strengthen cyber resilience and safeguard critical infrastructures. AI and Digital Twins Under Siege addresses these challenges by proposing comprehensive and adaptive defense mechanisms.
Recent advances in AI and digital twin technologies have introduced complex vulnerabilities beyond traditional cybersecurity models. Dark intelligence represents a new threat paradigm that requires integrated and dynamic security frameworks. While existing research explores AI ethics, resilience and defense, these areas are often fragmented and lack a clear focus regarding evolving attack dynamics and real-world threats such as AI-driven exploitation.
This book bridges this gap by offering a unified perspective that combines technical, operational and policy insights. It provides actionable frameworks to counter adversarial AI, supporting secure and resilient digital innovation across critical sectors.
1. Systemic Risks in Contemporary AI Systems: Misinformation, Model Dependency and Supply-Chain Vulnerabilities, Saba Fatima, C. Kishor Kumar Reddy, P.R. Anisha, Umaima Qader Mohiuddin and Jothi Paranthaman.
2. Data Abuse, Ethics Dilemmas, Supply Chain Poisoning and Third-Party Model Risks in the Age of AI Misinformation, Shailja Tripathi and Laxmi Pandit Vishwakarma.
3. The Data Poisoning Problem in Digital Twin Intelligence: Foundations, Risks and Probabilistic Defense Strategies, M'kouka Btissam, Zahedi Chaymaa, Mariya Ouaissa and Mariyam Ouaissa.
4. Adversarial Exploitation Lifecycle (AEL): Unveiling Dark Intelligence and Synthetic Identity Manipulation in Cognitive Security Systems, Bebesh Tripathy, Apoorwa Singh, Parul Sood and Annupriya.
5. Detecting Dark Intelligence in Cyber-Physical Digital Twins Using Self-Learning AI and Cognitive Security Analytics, Preeti Chugh, Imene Elhachfi Essoussi, Babita, Shubneet and Anushka Raj Yadav.
6. A Hybrid Transformer Automata Framework for Behavioral Anomaly Detection of FraudGPT and Dark LLM Threats, Ankita Patil, Mritunjay Kr. Ranjan, Pankaj Patil, Nitin Mali, Rajashri Rikame and Disha Arsude.
7. Trusted Twin Security Architecture (TTSA): Enabling Autonomous Risk Mitigation and Cognitive Trust in AI-Driven Digital Twin Systems, Bebesh Tripathy, Sudhanshu Sharma and Pritesh Tripathy.
8. Hybrid Cognitive-Explainable AI Architecture for Proactive Cyber Defense in Multi-Layer Networks, Vaibhav Sonaje, Pranjal Sonje, Disha Arsude, Rajashri Rikame, Ankita Patil and Mritunjay Kr. Ranjan.
9. Adaptive Cyber Resilience via Bio-Inspired Computing: An ACRF-Based Autonomous Immune-System Defense Model, Disha Arsude, Mritunjay Kr. Ranjan, Ramdas Gore, Kalyani Purkar, Ankita Patil and Rajashri Rikame.
10. Neuro-Cognitive ML Framework for Deepfake Detection and Spoofed Sensor Integrity in Cyber–Physical Systems, Rajashri Rikame, Mritunjay Kr. Ranjan, Monali Jadhav, Sarika Kondekar, Disha Arsude and Ankita Patil.
11. Explainable ML-Based Detection of Network-Based Fuzzing Attacks, Nadeen Ahmad, Farida Emam, Mouza Alameri and Mohammed M. Alani.
12. A Unified Framework for Decentralized and Private Verification of Wearable Health Data using Blockchain and Zero Knowledge Proofs (ZKPs), Anant Upadhiyay and Abhishek Jain.
13. Identity-Centric Database Security for Resilient Cloud-Based Digital Twin Infrastructure, Aktham Al-Yahya and Qasem Abu Al-Haija.
14. Protecting Smart Grid Digital Twins from Dark Intelligence Using Firewalls and Intrusion Detection Systems, Akram Al-Dhafari and Qasem Abu Al-Haija.
15. Big Data Analytics and AI-Driven Decision Support Systems for Financial Inclusion and Microfinance Risk Assessment, Tanvir Mahmoud Hussein, Kannadasan Karuppaiah, Palanivel R.M., Prabu Neethidoss, Wajid Ahmed Ansari, Abdul Saleem Mohammed, Abdul Waheed Mohammed, Sivasankar Prabaharan and Vinoth Raman.
16. 5G/6G-Enabled V2X for Intelligent Transportation Systems: AI Security Challenges and Cyber Resilience, Meryem Rhesdaoui, Mariya Ouaissa, Mariyam Ouaissa and My Ahmed El Kiram.
Mariya Ouaissa is an assistant professor at Cadi Ayyad University, Morocco. Her research focuses on IoT, wireless and cyber-physical security.
Hemant Kumar Saini is an academic at Lincoln University College, Malaysia, and Bennett University, Greater Noida, India. His research spans IoT, wireless networks and AI.
Pankaj Bhambri is a post-doctoral researcher at Lincoln University College, Malaysia, and an associate professor at GNDEC, Ludhiana, India. His research specializes in ML, bioinformatics and WSNs.
Mariyam Ouaissa is an assistant professor at ENSA, Chouaib Doukkali University, Morocco. Her research focuses on IoT, wireless networks and security.
