Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1478-1481

Digital medical image encryption and decryption algorithm based on chaotic mapping and adaptive partitioning

Bai Yameng1
Zhang Yanling1
Deng Xiaohong2
1. College of Information Engineering, Jiaozuo University, Jiaozuo Henan 454000, China
2. College of Applied Science, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0830

Abstract

In order to solve the weakness of existing medial image encryption algorithm based on chaotic system in considering the image's texture feature, this paper proposed a medical image encryption and decryption method based on chaotic mapping and adaptive partitioning. Firstly, it used the 2D Sine Logistic chaotic system to generate two secure sequences with good chaotic characteristics. Then, it divided the original medical image into fixed size image blocks, and calculated their maximum pixel difference and variance. According to the given threshold, it divided these image blocks into texture smooth blocks and texture complex blocks. Finally, it used the first chaotic sequence with ciphertext feedback mechanism to encrypt the smooth blocks, and encrypt the complex blocks by using the second chaotic sequence with plaintext feedback mechanism. Therefore, it obtained the encrypted image. Because the presented algorithm efficiently considered the texture characteristics of image blocks and optimized the algorithm of chaotic encryption, it improved the encryption and decryption efficiency of medical images. Experimental simulation results show that the presented algorithm has high security and encryption efficiency. Compared with the existent method, it reduces the encryption and decryption time by about 0.5 times. The presented algorithm is suitable for real-time medical images encryption and decryption with big data size.

Foundation Support

国家自然科学基金资助项目(61762046)
江西省自然科学基金资助项目(20161BAB212048)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0830
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Information Security
Pages: 1478-1481
Serial Number: 1001-3695(2020)05-039-1478-04

Publish History

[2020-05-05] Printed Article

Cite This Article

拜亚萌, 张燕玲, 邓小鸿. 自适应分块的医学图像混沌加解密算法 [J]. 计算机应用研究, 2020, 37 (5): 1478-1481. (Bai Yameng, Zhang Yanling, Deng Xiaohong. Digital medical image encryption and decryption algorithm based on chaotic mapping and adaptive partitioning [J]. Application Research of Computers, 2020, 37 (5): 1478-1481. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)