Blockchain and Machine Learning for IoT: Security and Privacy Challenges
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 6221
Special Issue Editors
Interests: security and privacy; computer modeling and simulation; information systems; computer networks
Special Issues, Collections and Topics in MDPI journals
Interests: networking; network security; distributed computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The pervasiveness of IoT technologies in a variety of fields is changing our lives. Industry, agriculture, health, and even personal life are experiencing a revolution in the way data are collected, communicated, processed, and stored. In recent years, two other technologies have begun to be used in synergy with IoT: Blockchain, which has changed the way data are stored, and machine learning, which has changed the way data are processed. With these premises in mind, it is desirable for researchers to focus their attention not just on the performance and features of the new systems but also on the new security and privacy issues related to this revolution.
This Special Issue invites researchers to contribute with original contributions, case studies, and reviews that address all new challenges due to the use of IoT in synergy with blockchain systems and/or machine learning techniques.
The topics relevant for this Special Issue include (but are not limited to):
- Security and privacy in blockchain technology for IoT;
- Intelligent systems for fraud detection and forensics in blockchain environments;
- Innovative architectures and protocols for safe blockchain application in IoT;
- Blockchain and trust management;
- Blockchain-based solutions for IoT security;
- Novel machine learning and data science methods for IoT security;
- Generative adversarial networks (GAN) in IoT security;
- Architectures and protocols for scalable, secure, robust, and privacy enhancing IoT;
- Privacy preservation in IoT;
- Vulnerability analysis, threat modeling, and risk assessment in IoT;
- Intrusion detection for IoT;
- Novel security architectures, protocols, or applications for IoT.
This is a joint special issue with Network.
Dr. Michele Mastroianni
Prof. Dr. Francesco Palmieri
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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
- Blockchain
- Machine Learning
- IoT
- Security
- Privacy
- Risk Analysis
