Machine-Learning-Based Algorithms for IoT Security
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 651
Special Issue Editors
Interests: cyber-security; intrusion detection; IoT; IIoT; IoBT; MIoT; computer networks; cryptography; network security; LPWAN; LoRa; NB-IoT; AI; ML
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things; access protocols; computer network security; cryptography; decision trees; learning (artificial intelligence); mobile ad hoc networks; pattern classification; pattern clustering; telecommunication security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) is a new paradigm that links a vast number of Internet-enabled devices together to share information with each other and with their surroundings, enabling intelligent interactions and linking physical infrastructure to digital systems. Hence, developing new tools and techniques to strengthen IoT cybersecurity and preserve user privacy is of the utmost importance.
The distributed and heterogenous nature of IoT networks imposes arduous challenges, which require thoughtful treatment while developing new paradigms related to IoT security. In this Special Issue, research studies, novel techniques, and tools addressing challenges in IoT cybersecurity and privacy are highly welcomed.
Topics related to different Machine Learning (ML)-based algorithms and architectures, or hybrid algorithms and schemes are welcomed, such as:
- Deep Learning;
- Federated learning;
- Distributed learning;
- Graph-powered learning.
- Reinforcement learning techniques;
- Markov models and their applications;
- Quantum machine learning techniques;
- Studies on datasets for IoT environment;
- Open set recognition for IoT threat detection.
Additionally, topics for the security of IoT networks, including the communications and backhaul infrastructure, are welcomed, which include, but are not limited to, the following disciplines and fields:
- M2M/T2T communications security (CoAP, CBOR, COSE, etc.);
- Intrusion: prevention/detection/mitigation systems for IoT;
- Location privacy for end users and reflections on GDPR;
- Cloud/Edge/Fog components of the IoT;
- Command and control centres for IoT;
- LPWAN (LoRa, Sigfox, NBIoT, etc.).
Dr. Ismail Butun
Dr. Amar Amouri
Guest Editors
Manuscript Submission Information
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