Cited by 58Chaos-based Image/Signal EncryptionCryptographic Implementations and SecurityMathematical Dynamics and Fractals

A chaos-based keyed hash function based on fixed point representation

Open access
Teh, Je Sen, Tan, Kaijun, Alawida, Moatsum·2019·Cluster Computing

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Crossref · 10.1007/s10586-018-2870-z

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  • The map defined by Equation (1) is chosen because it utilizes a discrete space architecture, which is considerably less computationally expensive than a map that employs a continuous space architecture.

    “The map defined by the Equation (1) is chosen to produce the pre-processed chaotic sequences for permutation and diffusion because it utilizes a discrete space architecture, which is considerably less computationally expensive than a map that employs a continuous space architecture [43].”

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Authors
Teh, J. S., Tan, K., & Alawida, M.
Affiliations
Universiti Sains Malaysia (MY)
Corresponding author
Teh, Je Sen
Venue
Cluster Computing
Published
2018-11-28
Volume
22
Issue
2
Pages
649-660
ISSN
  • 1386-7857 (ISSN-L)
  • 1573-7543
OpenAlex
W2903339439
Cited by
58
References
0
Citations by year
2026: 1 · 2025: 5 · 2024: 6 · 2023: 7 · 2022: 8 · 2021: 10 · 2020: 12 · 2019: 9
FWCI
3.88
Type
journal article
Language
en
Open access
Locations
  • Cluster Computing (publishedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
National Natural Science Foundation of China (61702212)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
  • Physical Sciences › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
Keywords
chaotic maps, fixed-point representation, integer arithmetic, Merkle-Damgård construction, keyed hash functions, collision resistance, confusion and diffusion, chaos-based cryptography, hash function performance

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