Data Security and Privacy: Challenges and Techniques

Dear Colleagues,

With an increasing amount of data, people have become more aware of the risks and impacts of data security and privacy protection, which has led to new challenges for information systems and service providers. Data security and privacy are essential to ensuring accountability and responsibility. In recent years, multiple techniques which enhance data security and privacy preservation capabilities have flourished. Some noticeable terms include federated learning, adversarial learning, privacy computing, steganography, zero-trust models, and AI security, among others. These techniques have both broadened the scope of data security and also strengthened the level of privacy preservation. This Special Issue provides an opportunity to present the latest developments in the domains of data security and privacy enhancing.

This Special Issue seeks novel theoretical or applied research on designing, developing, integrating, testing, and evaluating approaches for systems or approaches in protecting data security and privacy. Studies relating to data and privacy protection principles, regulations, or techniques, including new theories, foundations, tools, and significant case studies of implementations, are welcome. This Special Issue also welcomes survey papers that give the reader an overview of the state of the art in these topics.

Potential topics include, but are not limited to, the following:

1. Data security and privacy in deep learning;
2. Privacy-enhancing technologies;
3. Secure federated machine learning;
4. Digital watermarking for the protection of multimedia, AI, and language models;
5. Adversarial attack in specific applications;
6. Anonymous communication and anonymous communication networks;
7. Steganography in emerging scenarios;
8. Forensics and detection;
9. Research challenges in covert channels;
10. Novel ideas, algorithms, models, frameworks, and systems for data security and privacy.

Dr. Jianyi Liu
Prof. Dr. Ru Zhang
Dr. Zhen Yang
Guest Editors

Manuscript Submission Information

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• data security
• privacy
• digital watermarking
• steganography
• forensics and detection