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 505
Special Issue Editors
Interests: cyber-security; IoT; IIoT; computer networks
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 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
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.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 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.
