Cryptanalyzing a chaotic encryption algorithm for highly autocorrelated data
| Autor: | Liping Niu, Shangwang Liu, Ming Li, Hong Liu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Plaintext-aware encryption
business.industry Computer science Encryption 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Disk encryption theory 010309 optics Watermarking attack Deterministic encryption Multiple encryption Probabilistic encryption Computer Science::Multimedia 0103 physical sciences 40-bit encryption Electrical and Electronic Engineering business 010301 acoustics Algorithm Computer Science::Cryptography and Security |
| Zdroj: | Optics & Laser Technology. 86:33-38 |
| ISSN: | 0030-3992 |
| DOI: | 10.1016/j.optlastec.2016.06.012 |
| Popis: | Recently, a chaotic encryption algorithm for highly autocorrelated data was proposed. By adding chaotic diffusion to the former work, the information leakage of the encryption results especially for the images with lower gray scales was eliminated, and both higher-level security and fast encryption time were achieved. In this study, we analyze the security weakness of this scheme. By applying the ciphertext-only attack, the encrypted image can be restored into the substituted image except for the first block; and then, by using the chosen-plaintext attack, the S-boxes, the distribution map, and the block of chaotic map values, can all be revealed, and the encrypted image can be completely cracked. The improvement is also proposed. Experimental results verify our assertion. |
| Databáze: | OpenAIRE |
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