Work

Cryptanalzing a Novel Hyper-Chaotic Image Encryption Scheme Based on Pixel-Level Filtering and DNA-Level Diffusion

Year: 2020

Type: article

Abstract: As we know, improving security is one of the most important motivations for designing new image encryption schemes. However, the security of some new image encryption schemes has not been fully analyzed and evaluated. In view of this, a novel image encryption scheme based on the pixel-level filtering and the DNA-level diffusion (PFDD) is analyzed and evaluated in this paper. After comprehensive analysis and study, we find that PFDD does not have its claimed ability to resist chosen-plaintext attacks (CPAs). Therefore, under the conditions of CPAs, we cryptanalyze the entire encryption process of PFDD, and successfully crack it by our proposed attack algorithm. Then, The effectiveness and feasibility of the proposed attack algorithm are verified theoretically and experimentally. Finally, for several representative problems in current chaotic image encryption schemes, we put forward some improvement suggestions for future researchers.

Source: IEEE Access

DOI: 10.1109/access.2020.3038006

Authors: Wei Feng, Jing Zhang

Institution: Panzhihua University

Language: English

Topic: Chaos-based Image/Signal Encryption

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,750

Funders: Ministry of Education of the People's Republic of China, Education Department of Sichuan Province