Call for chapters : Converging Intelligence multidisciplinary advances in AI-Driven in cybersecurity
Tentative Chapters:
Foundations of Al-Powered Cybersecurity: Integrating Machine Learning with Traditional Defense Architectures
The Role of Deep Learning in Identifying and Mitigating Advanced Persistent Threats (APTs)
Adversarial Machine Learning in Cybersecurity: Threats, Countermeasures, and Future Challenges
Natural Language Processing for Real-Time Threat Intelligence and Automated Incident Response
Federated Learning in Cybersecurity: Enabling Privacy-Preserving Intrusion Detection Systems Across Distributed Environments
Explainable Artificial Intelligence (XAI) in Cybersecurity: Enhancing Transparency and Trust in Automated Threat Detection
Al-Driven Behavioral Biometrics for Continuous User Authentication and Fraud Prevention
Cognitive Security Frameworks: Bridging Human-Machine Collaboration for Cyber Threat Mitigation
Al-Augmented Threat Hunting: Leveraging Predictive Models for Proactive Cyber Defense
Graph Neural Networks for Cybersecurity: Modeling Complex Attack Patterns in Network Topologies
Machine Learning for Malware Classification and Evolutionary Threat Analysis
The Application of Reinforcement Learning in Dynamic Cyber Defense and Intrusion Prevention
Al-Powered Security Operations Centers (SOCs): Redefining Cyber Defense through Automation and Intelligence
Ethical Implications and Policy Considerations of Using Artificial Intelligence in Cybersecurity Domains
Zero Trust Architecture and Al: Building Self-Adaptive Security Ecosystems for Enterprise Environments
Intelligent Honeypots: Al Techniques for Deception, Attack Attribution, and Intrusion Analysis
Quantum-Al Synergies in Cybersecurity: Preparing for Post-Quantum Threat Landscapes
Autonomous Cyber Defense Agents: Opportunities and Challenges in Building Al-Driven Self Defending Systems
Securing the Internet of Things (IoT) Using Lightweight Al Models and Distributed Intelligence Mechanisms
Al in Cloud Security: Threat Detection, Compliance Monitoring, and Intelligent Response Automation
Synthetic Data Generation for Training Al Cybersecurity Models: Methods, Applications, and Limitations
Cybersecurity in the Metaverse: Leveraging Al to Safeguard Extended Reality (XR) Environments and Digital Avatars
Important dates:
Full chapter submission 30th August 2025
Comments after review: 15th September 2025
Final chapter submission: 30th September 2025
Submission link: https://surli.cc/cxakek
For any further communication:
Email: shuguftaresearch@gmail.com
