Guest Editor(s)
Assoc. Prof. Qasem Abu Al-Haija
Email: qsabuhaija@just.edu.jo
Affiliation: Department of Cybersecurity, Faculty of Computer and Information Technology, Jordan University of Science and Technology (JUST), Irbid, Jordan
Homepage:
Research Interests: cybersecurity, artificial intelligence, intelligent networks, internet of things (IoT), cyber-physical systems (CPS), explainable AI, network security, adversarial machine learning, critical infrastructure security
Assist. Prof. Fawaz Ali Khasawneh
Email: fakhasawneh@just.edu.jo
Affiliation: Department of Cybersecurity, Faculty of Computer and Information Technology, Jordan University of Science and Technology (JUST), Irbid, Jordan
Homepage:
Research Interests: cybersecurity, federated learning, network security, adversarial machine learning, malware analysis, network resilience
Summary
The rapid integration of artificial intelligence into next-generation communication networks, IoT ecosystems, edge computing, and cyber-physical systems is enabling increasingly autonomous and adaptive networked environments. However, AI-driven networking also introduces new challenges in security, privacy, trustworthiness, and resilience. This Special Issue aims to bring together recent advances in AI-enabled cybersecurity and trustworthy intelligent networking, with particular emphasis on secure, explainable, privacy-preserving, and resilient solutions for emerging communication and networked systems. Contributions addressing theoretical foundations, novel architectures, algorithms, experimental evaluations, datasets, and real-world applications are welcome.
The main topics of Interest (but not limited to):
· AI-driven network security and intrusion detection
· Intelligent threat detection, hunting, and response
· Trustworthy and explainable AI for networked systems
· Adversarial machine learning and AI robustness
· Federated and privacy-preserving learning
· Security of IoT and AIoT systems
· Edge AI and edge intelligence security
· Cyber-physical systems and critical infrastructure security
· Security and privacy for 5G/6G networks
· AI-enabled zero-trust architectures
· Digital twins for cybersecurity and network resilience
· Secure autonomous and self-adaptive networks
· LLMs and agentic AI for cybersecurity
· Malware, botnet, and DDoS detection
· Blockchain-enabled network security
· Secure integrated sensing and communication
· Post-quantum security for intelligent networks
· Explainable and responsible AI for cyber defense
· Novel cybersecurity datasets and benchmarking
· AI-driven security for smart cities and connected environments
Graphic Abstract
Keywords
AI-driven cybersecurity, intelligent networks, 6G, IoT/AIoT, edge intelligence, federated learning, explainable AI, adversarial machine learning, cyber-physical systems, network resilience
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