Evidence map›Paper›PMID 36981364›Full record

ArticleEntropy (Basel, Switzerland)2023

A Novel Chaotic Image Encryption Scheme Armed with Global Dynamic Selection.

Xin Chen, Qianxue Wang, Linfeng Fan, Simin Yu

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Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xin ChenCollege of Automation, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0001-5715-8552
Qianxue WangCollege of Automation, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-4063-5401
Linfeng FanCollege of Automation, Guangdong University of Technology, Guangzhou 510006, China.
Simin YuCollege of Automation, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-1192-6955

Funding

National Natural Science Foundation of China 62271157Natural Science Foundation of Guangdong Province 2022A1515010005
6 · The paper itself

Abstract

Due to the equivalent keys revealed by a chosen-plaintext attack or a chosen-ciphertext attack, most of the existing chaotic image encryption schemes are demonstrated to be insecure. In order to improve security performance, some scholars have recently proposed the plaintext-related chaotic image encryption scheme. Although the equivalent effect of a one-time pad is achieved, an additional secure channel is required to transmit the hash values or other parameters related to the plaintext before the ciphertext can be decrypted at the receiving end. Its main drawback is that an absolutely secure channel is needed to transmit the information related to the plaintext, which is not feasible in practical applications. To further solve this problem, this paper proposes a chaotic image encryption scheme based on global dynamic selection of a multi-parallel structure. First, a chaotic sequence is employed to dynamically select DNA encoding rules. Secondly, the permutation with a multi-parallel structure is performed on the DNA-encoded matrix, and the DNA decoding rules are dynamically selected according to another chaotic sequence. Finally, the diffusion rules obtained by the ciphertext feedback mechanism are introduced to determine the dynamic diffusion. Compared with the existing local dynamic encryption schemes, the main advantage of this scheme is that it can realize global dynamic selection, so as to ensure that there is no equivalent key, and it can resist the chosen-ciphertext attack or chosen-plaintext attack and does not need an additional secure channel to transmit parameters related to plaintext, which is practical. A theoretical analysis and numerical experiments demonstrate the feasibility of the method.

Indexed as

chaotic encryptionciphertext feedbackdynamic selectionequivalent key

Identifiers

PMID36981364
PMCPMC10048093

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