Symmetry in Cybersecurity–Generative AI Security and Threat Resiliency

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 255

Special Issue Editors

Computer Science and Software Engineering, Auburn University, Auburn, AL 36849, USA
Interests: cybersecurity; computer networks; Internet of Things; blockchain; identify; trust management
Department of Electrical Engineering, University of Tennessee at Chattanooga, Chattanooga, TN, USA
Interests: cyber-physical systems; Internet of Things; physical layer security; specific emmiter identificationl; radio frequency fingerprinting; device-to-device security

Special Issue Information

Dear Colleagues,

The goal of symmetry in cybersecurity is to create a consistent and well-structured defense strategy that helps to mitigate security risks and vulnerabilities. Generative Artificial Intelligence (AI) has brought a paradigm shift in various fields and possesses the learning capabilities of synthesizing new content, finding patterns, deriving insights and making predictions much faster than humans. However, with its numerous benefits, there are also significant security implications associated with generative AI that could have a significant impact on its field of application. This Special Issue will attempt to cover the tradeoff between positive and negative security impacts of generative AI and different threat mitigation approaches. This will also include symmetry-based approaches to maintain a balanced defense strategy, such as distributed resources, redundancy, network segmentation, fairness and bias mitigation, and control access.

We invite researchers to contribute their original and high-quality research papers on advances in generative AI security and threat resiliency.

Potential topics include, but are not limited to:

  • Privacy preservation strategies in applying generative AI in IoT;
  • Generative AI integration in intrusion detection systems;
  • Generative AI integration into physical layer security solutions;
  • Threats to generative AI-based security solutions;
  • Generative AI-driven communications solutions;
  • Generative AI based adversarial attacks in networking and communication systems;
  • Security impact on limited resource devices form using generative AI created content;
  • Deepfake detection in IoT systems;
  • Secure generative AI deployment in cloud environment.

Dr. Farah Kandah
Dr. Donald R. Reising
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. Symmetry 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 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.

Published Papers

This special issue is now open for submission.
Back to TopTop