Cited by 142Chaos-based Image/Signal EncryptionComputer Science and EngineeringAdvanced Steganography and Watermarking Techniques

A novel plaintext-related image encryption scheme using hyper-chaotic system

Li, Zhen, Peng, Changgen, Li, Liangrong, Zhu, Xiaoyan·2018·Nonlinear Dynamics

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Crossref · 10.1007/s11071-018-4426-4

Cites

30 of 30 references verified0 citation errors · 0 not checkable

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  • The plaintext-related hyperchaotic encryption algorithm [183] has a vulnerability that there is no change in the gray value of a specific pixel in the diffusion process.

    “one is that there is no change in the gray value of a specific pixel in the diffusion process”
  • The plaintext-related hyperchaotic encryption algorithm [183] has a vulnerability that its arrangement is reversible.

    “the other is that its arrangement is reversible”
  • In [57], the sensitivity mechanism can be easily canceled because only nine selected pixels have no influence on other ones.

    “However, the sensitivity mechanism can be easily canceled as only nine selected pixels have no influence on other ones.”
  • Compared with image encryption in [35,36,37] and video encryption in [38], the proposed scheme provides a much faster decryption speed, reaching 91.47 Mb/s.

    “Compared with the image encryption in [35,36,37] and the video encryption in [38], our scheme provides a much faster decryption speed, reaching 91.47 Mb/s.”

    From Secure Video Surveillance Framework in Smart City (2021) · cites this paper as [36]

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Authors
Li, Z., Peng, C., Li, L., & Zhu, X.
Affiliations
  • Guizhou University (CN)
  • Xidian University (CN)
Corresponding author
Peng, Changgen
Venue
Nonlinear Dynamics
Published
2018-06-28
Volume
94
Issue
2
Pages
1319-1333
ISSN
  • 0924-090X (ISSN-L)
  • 1573-269X
OpenAlex
W2810072183
Cited by
142
References
32
Citations by year
2026: 7 · 2025: 11 · 2024: 17 · 2023: 17 · 2022: 20 · 2021: 29 · 2020: 26 · 2019: 15
FWCI
8.75
Type
journal article
Language
en
Open access
closed
Locations
Nonlinear Dynamics (publishedVersion)
Funders
  • National Natational Natural Science Foundation of China (61662009)
  • National Natural Science Foundation of China (60963023, 61361012)
  • Scientific Research Foundation of Guizhou province, China (QKHPTRC[2017]5788)
  • State Cryptography Development Foundation of Encryption Theory subject of China (MMJJ20170129)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
Keywords
image encryption, hyperchaos, hash functions, permutation and diffusion, keystream generation, known-plaintext attack resistance

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