New Trends in Cryptography, Authentication and Information Security
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 670
Special Issue Editors
Interests: intrusion detection; network security
Interests: edge/cloud computing; machine learning systems; mobile computing; distributed systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the latest advancements and research in enhancing cybersecurity through innovative approaches to detecting and identifying cyber threats. Cyberspace's seamless integration of physical, social, and mental spaces has become an integral part of our society. However, there are several pressing challenges associated with cyberspace. For example, how do we strike a balance between the need for strong cybersecurity and preserving the privacy of ordinary citizens? To address these challenges, there is a need to establish new science and research portfolios that incorporate cyber–physical, cyber–social, cyber–intelligent, and cyber–life technologies in a cohesive and efficient manner.
This Special Issue will include, but not be limited to, the following themes:
(1) Integration of AI and Machine Learning: leveraging artificial intelligence (AI) and machine learning techniques to improve the accuracy and efficiency of intrusion detection systems (IDS).
(2) Big Data Analytics: discussing how the analytics tools can provide real-time or near-real-time insights into potential security breaches, enhancing the responsiveness of IDS.
(3) Emerging Technologies: exploring the potential of emerging technologies like blockchain and quantum computing in revolutionizing IDS.
(4) Federated Learning and Privacy Preservation: researching the novel approach that allows for collaborative model improvement without compromising data privacy.
(5) Hybrid Models: developing and applying hybrid models that combine different methodologies, such as machine learning with rule-based systems.
Dr. Zhen Liu
Dr. Peng Li
Prof. Dr. Song Guo
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
- intrusion detection
- cybersecurity
- cyber threats
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