JOURNAL ARTICLE

A chaotic keystream generation for stream cipher

Abstract

The current article presents two chaotic pseudorandom number generators CPRNG for keystream. Statistical analysis with several high-speed stream ciphers showed that our proposed algorithms have comparable results with them. In addition, our two CPRNGs showed a good degree of randomization based on NIST statistical test suites, quasi-ideal entropy, good keystream distribution, and good sensitivity to initial conditions, indicating resistance to differential attacks.

Keywords:
Keystream Stream cipher NIST Computer science Pseudorandom number generator Algorithm Cryptography Chaotic Cryptanalysis Mathematics Theoretical computer science Artificial intelligence

Metrics

2
Cited By
0.14
FWCI (Field Weighted Citation Impact)
28
Refs
0.44
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Chaos-based Image/Signal Encryption
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Chaos control and synchronization
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Fractal and DNA sequence analysis
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
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