Year: 2025
Type: article
Abstract: Currently, common image encryption methods mainly include symmetric encryption (such as AES, DES) and public key encryption (such as RSA, ECC). Although these traditional encryption methods perform well in terms of data security, they still have certain limitations in terms of multi-source data protection, efficient encryption and decryption, key management and protection against eavesdropping attacks. For example, symmetric encryption requires a secure shared secret between both sides of communication, while public key encryption is computationally complex and difficult to meet the real-time requirements of large-scale data transmission. In addition, existing encryption methods are often unable to make full use of the relevance between sources to optimize the efficiency and security of data encryption. To this end, this paper studies a source joint coding scheme based on a multi-level diversity coding system (MDCS) and applies it to image encryption. The scheme combines Shamir threshold secret sharing and source joint encryption to achieve hierarchical encryption of data by dividing images into multiple source blocks, and uses joint coding technology to improve anti-eavesdropping capabilities. On this basis, this paper further improves the shortcomings of the original source joint coding scheme, optimizes the encryption process, and enhances the security, reliability and computing efficiency of the system. Experimental results show that the scheme can improve the ability to resist attacks while ensuring the security of image encryption, providing an effective solution for image data protection in cloud computing, the Internet of Things and distributed storage environments.
Author: Yuhang Wu
Institution: Nankai University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410129304