Multimedia Data Security and Privacy Protection Based on Chaotic Systems and Compressive Sensing
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 1976
Special Issue Editors
Interests: multimedia data security; privacy protection; chaotic system; compressive sensing; cryptography; computer science; secure communication; nonlinear dynamics; security analysis
Interests: image processing; image encryption; pattern recognition; deep learning
Special Issue Information
Dear Colleagues,
Currently, chaos theory and compressive sensing technology both play a significant role in enhancing data security. Chaotic systems have inherent randomness, ergodicity, and sensitivity to initial conditions that make them well-suited for applications such as encryption. Their dynamic and unpredictable nature provides a layer of security that makes encrypted signals difficult to decode without the encryption key. Meanwhile, compressive sensing allows for the reconstruction of data from far fewer sampling measurements or “dimensions” compared to traditional methods like Nyquist sampling. When combined with chaotic systems, compressive sensing further improves security by compacting the original data structure. These nonlinear dynamics and dimension reduction approaches offer new ways to safeguard sensitive information and help address growing concerns around cyber threats and privacy. Their utilization in security protocols and systems design could significantly strengthen protections for communications, embedded devices, networks, and databases.
The research on chaotic system modeling and its entropy analysis, compressed sampling technology, and its security application is increasing. In addition, the research in this area needs further exploration and innovation. Meanwhile, it is necessary to combine new computer technology and artificial intelligence methods to explore new methods for the security application of chaotic systems and compressive sensing. We very much welcome contributions centered around solving these problems.
This Special Issue aims to become a forum to introduce new and improved technologies of chaotic system modeling, entropy analysis, and compressed sampling. In particular, with the help of chaotic systems and compressive sensing, combined with new computer technology and artificial intelligence methods, proposing new multimedia data encryption and privacy protection schemes fall within the scope of this Special Issue.
Dr. Donghua Jiang
Dr. Jianhua Wu
Prof. Dr. Yuguang Yang
Guest Editors
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Keywords
- chaotic system
- compressive sensing
- entropy analysis and calculation
- multimedia data encryption algorithms
- privacy protection schemes
- complex network and artificial intel-ligence technology
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