Recent Advances in Software Security and Cryptographic Protocols Using Machine Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 19
Special Issue Editors
Interests: automatic bug finding; vulnerability exploitation; deep learning; security for AI
Interests: blockchain; metaverse security; AI security; decentralized identifier; authentication; access control; internet of things; post-quantum cryptography; VANET; information security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
The increasing complexity of software systems has heightened the need for advanced security measures. Traditional methods such as signature-based detection and manual reviews often fail against evolving cyber threats. This Special Issue aims to explore the integration of software security and machine learning to enhance the detection, prevention, and mitigation of vulnerabilities.
We also focus on recent advancements in cryptographic protocols powered by machine learning, which can revolutionize their design, analysis, and implementation by identifying weaknesses, optimizing encryption, and automating threat detection. By combining machine learning with cryptographic protocols, we aim to bolster defenses against sophisticated attacks.
We welcome contributions that bridge software engineering, cybersecurity, and data science, including original research, experimental studies, reviews, and case studies. This collaborative effort seeks to advance software security and cryptographic protocols to address the challenges of modern cyber threats. We welcome contributions that cover various topics, including but not limited to, the following:
- Malware detection
- Vulnerability discovery
- Anomaly detection
- Automated threat response
- Deploying machine learning models in the real-world environment
- Decentralized cryptographic protocols
- Blockchain security
- Security and privacy in various fields
- AI-based cryptographic techniques
- Access control and authentication
Dr. Seungho Jeon
Dr. KiSung Park
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
- software security
- machine learning
- cryptographic protocols
- malware detection
- security and privacy
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