Advanced Technologies in Data and Information Security, Fourth Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 257
Special Issue Editors
Interests: privacy-enhancing technologies (PETs); information security; distributed ledger technologies (DLTs); personal data management; cryptographic protocols; health informatics; information retrieval; social networks analysis; ubiquitous computing
Special Issues, Collections and Topics in MDPI journals
Interests: cybersecurity; IoT security; cyber threat intelligence; authentication systems; e-Government services; electronic payment systems; mobile systems security; security awareness
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The protection of personal data and privacy is a timeless challenge that has intensified in the modern era. The digitisation that has been achieved in recent decades has radically changed the way we live, communicate, and work, revealing various security and privacy issues. Specifically, the explosion of new technologies and the continuous developments of technologies, such as IoT and AI, have led to the increased value of data, while it has raised demand and introduced new ways to obtain it. Techniques such as data analysis and processing provide a set of powerful tools that can be used by both governments and businesses for specific purposes. However, as with any valuable resource, as in the case of data, the phenomena of abuse, unfair practises, and even criminal acts are not absent. In particular, in recent years, there have been more and more cases of sophisticated cyberattacks, data theft and leaks, or even data trade, which violate the rights of individuals, but also harm competition and seriously damage the reputation of businesses.
In this Special Issue, we seek research and case studies that demonstrate the application of advanced technologies in data and information security to support applied scientific research, in any area of science and technology. Example topics include (but are not limited to) the following:
- Self-sovereign identities;
- Privacy-preserving solutions;
- Blockchain-based security and privacy;
- Data loss prevention;
- Deep learning forensics/malware analysis/anomaly detection;
- AI-driven security systems;
- Context-aware behavioural analytics;
- Security and data breach detection;
- Cyber-physical systems security;
- Secure and privacy-preserving health solutions;
- Active defence measures;
- Social networks information leaks;
- Edge and fog computing security;
- Anonymization and pseudonymization solutions;
- Zero-trust network access technology;
- Dynamic risk management;
- Cyber threat intelligence;
- Situational awareness.
Dr. George Drosatos
Dr. Konstantinos Rantos
Guest Editors
Manuscript Submission Information
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Keywords
- data protection
- information security
- cybersecurity
- cyber threats
- privacy
- forensics
- cryptography
- blockchain
- AI- and ML- driven security
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Related Special Issues
- Advanced Technologies in Data and Information Security in Applied Sciences (10 articles)
- Advanced Technologies in Data and Information Security II in Applied Sciences (22 articles)
- Advanced Technologies in Data and Information Security III in Applied Sciences (14 articles)