Security and Privacy in Emerging Technologies
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 148
Special Issue Editors
Interests: cybersecurity
Interests: clustering algorithm in resource constrained network; inference learning and intelligent decision-making in wireless networks; distributed learning and federated learning with multi-modal data; privacy and security protection in distributed learning
Special Issue Information
Dear Colleagues,
In recent times, various emerging technologies, such as edge computing, crowd intelligence, federated learning, smart grid, privacy computing, 5G/6G, satellite networks, and large models, to name a few, have been develo** rapidly. On the one hand, these technologies either require massive amounts of data to compute or intentionally, or unintentionally, collect them. Unfortunately, these data are highly likely to involve sensitive information, which raises unprecedented privacy concerns. On the other hand, these emerging technologies always rely on networks, other parties, or remote servers to provide intelligence information or services, which makes them severely vulnerable to security attacks such as, for instance, denial-of-service attacks, poisoning attacks, member inference attacks, cryptographic attacks, and imitation attacks. Thus, it is high time to investigate privacy and security in emerging technologies. This Special Issue aims to bring together researchers from different backgrounds, such as artificial intelligence, cryptography, and cybersecurity, to discuss the latest experiences, research ideas, synergic research, and developments related to these fundamental issues.
The topics of this Special Issue include but are not limited to the following:
- Formulation of privacy and privacy in data computation fusion;
- Privacy-preserving crowd intelligence;
- Attack and defense for federated learning/edge computing/smart grid/large models;
- Security attacks in 5G/6G/satellite networks;
- Efficient, fair, or verifiable privacy computing;
- Privacy-preserving training and inference for large models;
- Hybrid paradigm between software and hardware for privacy computing;
- Privacy computing-empowered emerging technologies in tracking privacy concerns;
- Privacy-preserving and secure artificial intelligence;
- Blockchain-empowered emerging technologies in security and privacy.
Dr. Bowen Zhao
Dr. Cheng Qiao
Dr. Jun Jiang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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
- privacy protection
- network security
- emerging intelligence
