Advances in Attack Detection and Intrusion Prevention for the Internet of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 30 August 2026 | Viewed by 38
Special Issue Editors
Interests: Internet of Things (IoT); IoT security and privacy; dynamic and contextual access control; blockchain for security and privacy; LLMs in cyber security; digital forensics
Special Issues, Collections and Topics in MDPI journals
Interests: privacy and security; VoIP and NGN security; IoT security; security of mobile apps and systems; online harms and protection; trust and reputation systems; applications of blockchain
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) has revolutionised the way we interact with the physical and digital worlds, enabling billions of smart devices to seamlessly collect, process, and exchange information. While this hyper-connectivity brings unprecedented convenience and innovation, it also exposes IoT systems to a wide spectrum of cyber threats, including targeted attacks, large-scale distributed denial-of-service (DDoS) attacks, malware infiltration, and sophisticated intrusion campaigns. In the IoT environment, sensitive and critical data is continuously transmitted, often over insecure networks. Many IoT devices are resource-constrained, lack robust security features, and are deployed in diverse, dynamic, and sometimes hostile environments, making them prime targets for attackers. Detecting and mitigating attacks in IoT networks has therefore become a paramount research priority. The integration of cutting-edge technologies such as artificial intelligence, blockchain, federated learning, and edge computing offers promising avenues to enhance IoT security and build resilient, intrusion-aware ecosystems.
The purpose of this Special Issue is to bring together high-quality research and review articles that explore innovative methods, tools, and frameworks for attack detection, intrusion prevention, and resilience in IoT networks. We welcome and invite contributions from academia and industry that address the challenges and opportunities in securing IoT infrastructures against evolving cyber threats.
Potential topics include, but are not limited to, the following:
- Intrusion detection and prevention systems (IDPS) for IoT networks.
- AI/ML and DL approaches for attack detection in IoT.
- Federated learning for privacy-preserving IDS.
- Zero-Day Attack Detection with AI.
- Cyber Security in IoT and IIoT.
- Cyber Security Applications using Machine Learning.
- Lightweight cryptographic and authentication schemes for IoT devices.
- Security and privacy in Industrial IoT (IIoT) environments.
- Blockchain and distributed ledger technologies for secure IoT transactions.
- Autonomous Applications for Cyber Security.
- Privacy-enhancing techniques and secure data aggregation.
- Digital forensics and incident response in IoT ecosystems.
- Threat intelligence sharing for IoT attack mitigation.
- Adaptive and self-healing IoT security architectures.
- Big data analytics for heterogeneous IoT threat detection.
- Attack modelling and simulation for IoT environments.
- Secure edge and fog computing for intrusion prevention.
- Resilience and fault tolerance in IoT communication protocols.
Dr. Hany Atlam
Dr. Muhammad Ajmal Azad
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intrusion detection
- cyber security
- Internet of Things
- attack detection
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