Design and Optimization of Reversible Information Hiding Image Encryption Algorithms in the Context of Electronic Information Security

With the widespread application of electronic information, in order to meet the growing security needs in the field of electronic information security, a new encryption algorithm based on a novel chaotic map with traversal and chaos characteristics has been proposed. By introducing a hash algorithm and chaotic map, the randomness and nonlinear characteristics of the system are enhanced, and the confidentiality of data and the security of the system are improved. The encryption process includes generating chaotic sequences, constructing permutation boxes, and DNA encoding operations, ultimately generating cipher-text images with high randomness. Meanwhile, an information-hiding encryption algorithm with a four-dimensional conservative chaotic system is designed, which improves the randomness and initial value sensitivity of the algorithm by introducing a chaotic system, and optimized reversible information hiding and image encryption. The algorithm includes chaotic system encryption, additional data embedding, rearrangement strategy, and symmetric structure data extraction and image restoration. The algorithm was robust to images with 50% tampering degree, with an average peak signal-to-noise ratio of 31.26dB, demonstrating high key sensitivity. In the light home plot test, the peak signal-to-noise ratio reached 57.2dB. Under the same QF value but different embedding amounts, the signal-to-noise ratio of the algorithm was 46.9dB, which was superior to other algorithms, highlighting its outstanding performance in different challenges.

@article{Zhang2024,
  title     = {Design and Optimization of Reversible Information Hiding Image Encryption Algorithms in the Context of Electronic Information Security},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {6},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Li Zhang and Keke Shan},
  doi       = {10.14569/IJACSA.2024.01506129},
  url       = {https://doi.org/10.14569/IJACSA.2024.01506129}
}