Special Issue "Sustainable Security Solutions for Mobile Applications with Symmetry"
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 2446
Special Issue Editors
Interests: machine learning for software engineering, software security; program analysis; software evolution
Interests: network security; cryptographic protocols; wireless and mobile networks
Special Issue Information
Dear Colleagues,
With mobile software applications increasingly affecting our lives and societies, their security and privacy issues have received growing attention in the research community, particularly techniques utilizing data-driven, notably machine/deep learning, methods having demonstrated tremendous potential in recent years, a major challenge being that such solutions tend to not be sustainable because of the moving defense targets; that is, a technique devised to work effectively for one population of mobile applications developed in a certain period of time may not work well for applications coming out later in time, because of the constant evolution of the population. This Special Issue is dedicated to exploring and discovering more sustainable novel solutions so that we can eliminate the need to repeatedly and frequently develop/update techniques for newer mobile application populations; in fact, even if it is affordable to do so, we may not have newer samples available for re-training/updating the previously trained learning models. The topic pursues a synergy between sustainable mobile software security and robust data-driven (especially AI/ML) models, where the symmetry concept is reflected between sustainability in the former and robustness in the latter, this Special Issue collecting papers that highlight the recent advances and broad research efforts tackling the challenge of technique deterioration, the lack of training samples that represent new/emerging software applications, and the subsequent proliferation of zero-day security breaches.
Dr. Haipeng Cai
Dr. Jia-Ning Luo
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.
Keywords
- data-driven technique
- mobile security
- sustainability
- data evolution
- deterioration
- robustness
- adversarial samples
