Evidence map›Paper›PMID 33737551›Full record

ArticleScientific reports2021

A new image encryption algorithm based on the OF-LSTMS and chaotic sequences.

Yi He, Ying-Qian Zhang, Xin He, Xing-Yuan Wang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Yi HeCity Institute, Dalian University of Technology, Dalian, 116600, China.
Ying-Qian ZhangSchool of Information Science & Technology, Xiamen University Tan Kah Kee College, Zhangzhou, 363105, China. zhangyqxmu@xmu.edu.cn.
Xin HeDalian University of Technology, Dalian, 116024, China.
Xing-Yuan WangSchool of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China.

Funding

Liaoning Province Science and Technology Innovation Leading Talents Program Project No.XLYC1802013New Century Excellent Talents in Fujian Province University, the Natural Science Foundation of Fujian Province of China No.2018J01100the National Natural Science Foundation of China No.61672124the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund No.MMJJ20170203Zhangzhou Science and Technology Project No.ZZ2018J23
6 · The paper itself

Abstract

In this paper, a novel image encryption algorithm based on the Once Forward Long Short Term Memory Structure (OF-LSTMS) and the Two-Dimensional Coupled Map Lattice (2DCML) fractional-order chaotic system is proposed. The original image is divided into several image blocks, each of which is input into the OF-LSTMS as a pixel sub-sequence. According to the chaotic sequences generated by the 2DCML fractional-order chaotic system, the parameters of the input gate, output gate and memory unit of the OF-LSTMS are initialized, and the pixel positions are changed at the same time of changing the pixel values, achieving the synchronization of permutation and diffusion operations, which greatly improves the efficiency of image encryption and reduces the time consumption. In addition the 2DCML fractional-order chaotic system has better chaotic ergodicity and the values of chaotic sequences are larger than the traditional chaotic system. Therefore, it is very suitable to image encryption. Many simulation results show that the proposed scheme has higher security and efficiency comparing with previous schemes.

Identifiers

PMID33737551
PMCPMC7973585

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.