Emerging Information Technologies in the Field of Cyber Defense
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 3548
Special Issue Editors
Interests: information security; data mining; machine learning; ubiquitous computing
Special Issues, Collections and Topics in MDPI journals
Interests: information security; bio-signal data processing; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cyber attacks are evolving in accordance with the gradual development of IT technologies such as self-driving cars, IoT systems, and AI avatars. The STUXNET virus, which uses a worm virus that does no damage unless certain conditions are activated, and WormGPT, a generative AI-based criminal tool that attacks only the intended target, can be seen as examples that directly demonstrate the evolution of these cyber attacks. It is important to block these cyber attacks in advance, and it is also important to prevent recurrence by applying defensive actions after a cyber attack occurs. However, since multiple defensive actions can exist for each attack technique, rather than 1:1 matching, which applies defensive actions to each attack technique, more effective and efficient cyber defense technologies applying multiple defensive actions to defend against a specific attack have many advantages in terms of money and time.
Therefore, this Special Issue encourages the submission of state-of-the-art research in cyber defense, as well as fundamental research relevant to the subject. Topics of interest include (but are not limited to) the following subject categories:
- Machine learning for cyber defense;
- Information security for cyber defense;
- Countermeasures against cyber attacks;
- Cyber defense algorithms;
- Cyber defense for cyber terrorism;
- Cyber defense for social networking threats;
- Big data security in cyber defense;
- Digital forensics in cyber defense.
Prof. Dr. Dongkyoo Shin
Prof. Dr. Dongil Shin
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 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
- cyber defense
- machine learning
- countermeasure
- threats
- physical attacks
