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Article type: Research Article
Authors: Harmouch, Youssef* | El Kouch, Rachid
Affiliations: Department of Mathematics, Computing and Networks, National Institute for Post and Telecommunication, Rabat, Morocco
Correspondence: [*] Corresponding author: Youssef Harmouch, Department of Mathematics, Computing and Networks, National Institute for Post and Telecommunication, Rabat, Morocco. E-mail: [email protected].
Abstract: The current article statistically analyzes several PRNG for well-known high-speed stream ciphers. The study focuses on frequency detection, uniformity distribution alongside with randomization in the generated sequence. The purpose of this work is to show if there is a signature left by these PRNG in theirs produced sequence. In addition, the work compares these PRNG to indicate which is the safest against statistical cryptanalysis.
Keywords: Stream cipher, statistical cryptanalysis, pseudorandom number generator, ciphertext signature, guessing attack
DOI: 10.3233/HIS-180256
Journal: International Journal of Hybrid Intelligent Systems, vol. 14, no. 4, pp. 255-269, 2018
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