2021
DOI: 10.1155/2021/5597720
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Beyond Statistical Analysis in Chaos-Based CSPRNG Design

Abstract: The design of cryptographically secure pseudorandom number generator (CSPRNG) producing unpredictable pseudorandom sequences robustly and credibly has been a nontrivial task. Almost all the chaos-based CSPRNG design approaches invariably depend only on statistical analysis. Such schemes designed to be secure are being proven to be predictable and insecure day by day. This paper proposes a design and instantiation approach to chaos-based CSPRNG using proven generic constructions of modern cryptography. The prop… Show more

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Cited by 4 publications
(5 citation statements)
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References 50 publications
(54 reference statements)
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“…8), the Auto-correlation test is applied on the output key of the ESKG to obtain the value for the three examples using which are obtained from test using relation (7) for . Tables (4)(5)(6)(7)(8) show the high randomness of the ESKG, where the five randomness tests Frequency, Serial, Run, Poker, and Auto-correlation are applied where the output key passes all the randomness efficiently.…”
Section: Linear Complexity (mentioning
confidence: 99%
See 2 more Smart Citations
“…8), the Auto-correlation test is applied on the output key of the ESKG to obtain the value for the three examples using which are obtained from test using relation (7) for . Tables (4)(5)(6)(7)(8) show the high randomness of the ESKG, where the five randomness tests Frequency, Serial, Run, Poker, and Auto-correlation are applied where the output key passes all the randomness efficiently.…”
Section: Linear Complexity (mentioning
confidence: 99%
“…al. in 2021 [6] , suggested leveraging tried-and-true generic concepts from contemporary cryptography to develop and implement a chaos-based cryptographically Secure Pseudorandom Number Generator (CSPRNG). They proposed a design and instantiation approach to chaos-based CSPRNG using proven generic constructions of modern cryptography.…”
Section: Introductionmentioning
confidence: 99%
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“…This proposed method aims to tackle this issue by using the dedicated random key generation process by using the CSPRNG algorithm so that the quality of randomness cannot be distinguished from pure random [15]. Because of this, the security issue can be fixed, so the attacker cannot predict how the private key is generated.…”
Section: Introductionmentioning
confidence: 99%
“…According to these studies, the security of the chaos-based cipher established by statistical analysis is unreliable. Arockiasamy, Benjamin and Vaidyanathan [29] proposed an SC model based on the CML and logistic-sine map and proved its security using proven generic constructions of modern cryptography. The proof, however, was constrained by the required accuracy to keep the prediction errors small.…”
Section: Introductionmentioning
confidence: 99%