Next-Generation IoT: Integrating AI for Cybersecurity and System Trust
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 February 2026 | Viewed by 13
Special Issue Editors
Interests: AI security; Internet of Things and 6G networks; vehicular ad hoc network security; blockchain and emerging technologies; network security; content delivery networks; cloud computing and mobile sensor networks and mobile ad hoc networks
Interests: artificial intelligence (AI); machine learning (ML); financial technology (FinTech); information security; smart systems; decision making; decision support system (DSS); real-time database systems; cloud computing databases and platforms; workflow system performance; IOT and robotic applications
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) continues to drive innovation across industries and public sectors, forming the technological backbone of smart cities, intelligent healthcare, autonomous vehicles, and critical infrastructure. As IoT ecosystems expand in scale and complexity, the need to ensure robust cybersecurity, system resilience, and user trust is becoming increasingly urgent.
At the same time, artificial intelligence (AI) is emerging as a transformative force in enhancing IoT system intelligence, security, and adaptability. AI-based models enable real-time threat detection, dynamic risk assessment, automated incident response, and intelligent access control, capabilities that are essential for securing next-generation IoT infrastructures.
This Special Issue, entitled “Next-Generation IoT: Integrating AI for Cybersecurity and System Trust,” aims to bring together state-of-the-art research and practical insights into how AI can fortify IoT systems against cyber threats while improving system transparency, resilience, and user confidence.
We welcome high-quality submissions exploring the intersection of IoT, AI, and cybersecurity, including novel methodologies, architectures, applications, and case studies. Contributions may address theoretical advances, real-world implementations, or interdisciplinary approaches.
Topics of interest include, but are not limited to:
- AI-based intrusion detection and prevention for IoT networks;
- Federated learning and privacy-preserving AI in IoT;
- Trust management and identity verification using AI;
- Threat intelligence and anomaly detection using machine/deep learning;
- Edge and fog intelligence for secure IoT decision-making;
- Blockchain and AI synergy for secure IoT transactions;
- Resilient IoT architectures supported by intelligent systems;
- Explainable AI (XAI) for trust and transparency in IoT;
- Secure communication protocols enhanced by AI;
- Case studies and applications in smart cities, smart homes, healthcare, and industrial IoT.
Dr. Rabab Al-Zaidi
Dr. Hisham AbouGrad
Dr. Ahmed Abubahia
Guest Editors
Manuscript Submission Information
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Keywords
- IoT
- AI
- cybersecurity and system trust
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