Aim

Data Security and Management (DSM) is an open access, peer reviewed journal covered all aspects of data security and applications, including Hardware and software security, authentication and access control, privacy protection, network and mobile security, as well as applications related to the deep learning, big data analysis, objection recognition and so on. We welcome original articles, systematic surveys and reviews from basic research to applications.

Scope

The journal includes but is not limited to:

• Data protection and privacy
• Information storage and security
• Computer and network security
• Hardware and physical security
• Cryptography (encryption and decode)
• Privacy-preserving distributed deep learning
• Secure and accountable management of big data
• Security management and policies