A Design for a Cryptographically Secure Pseudo Random Number Generator

Williams, Benjamin; Hiromoto, Robert E.; Carlson, Albert

doi:10.1109/idaacs.2019.8924431

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…The mechanism used makes it difficult to predict the sequence of the generator even if the partial sequence or parameters are known or there is knowledge of the algorithm used in the transformation of the generators. Subsequently, other models have been proposed, as in, for example, [50], where a CSPRNG based on a hybrid methodology including chaotic additional input is defined; in [51], where a CSPRNG based on controlling the distribution of generated random numbers with the chaotic henon congruential generator is proposed; and in [52,53], where a CSPRNG based on the permutation of the internal state of the PRNG is proposed. The results are checked with Dieharder.…”

Section: Description Of Cryptographically Secure Pseudo-random Number...mentioning

confidence: 99%

Cryptographically Secured Pseudo-Random Number Generators: Analysis and Testing with NIST Statistical Test Suite

Almaraz Luengo,

Román Villaizán

2023

Mathematics

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There are several areas of knowledge in which (pseudo-)random numbers are necessary, for example, in statistical–mathematical simulation or in cryptography and system security, among others. Depending on the area of application, it will be necessary that the sequences used meet certain requirements. In general, randomness and uniformity conditions are required in the generated sequences, which are checked with statistical tests, and conditions on sequence unpredictability if the application is in security. In the present work, a literature review on cryptographically secure pseudo-random number generators (CSPRNGs) is carried out, they are implemented, and a critical analysis of their statistical quality and computational efficiency is performed. For this purpose, different programming languages will be used, and the sequences obtained will be checked by means of the NIST Statistical Test Suite (NIST STS). In addition, a user’s guide will be provided to allow the selection of one generator over another according to its statistical properties and computational implementation characteristics.

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Section: Description Of Cryptographically Secure Pseudo-random Number...mentioning

confidence: 99%

Cryptographically Secured Pseudo-Random Number Generators: Analysis and Testing with NIST Statistical Test Suite

Almaraz Luengo,

Román Villaizán

2023

Mathematics

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“…As already stated in Section VI-B and thanks to Assumption A.7, this operation leverages a cryptographically secure PRNG. The fundamental properties of such a PRNG are its resistance to both the next-bit test [64] and the state compromise extension [65]. These properties prevent the attacker from being able to acquire any advantage in breaking the shuffling operation and obtaining a clear connection between the original message (containing the smart camera seed) and the digest.…”

Section: Sp2 -Resistance To Package Correlation Attacksmentioning

confidence: 99%

Anonymous Access Monitoring of Indoor Areas

2021

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Video surveillance of public spaces is a feature of modern society that has expanded quite quickly and in a pervasive way during the last decades becoming a fundamental need for both individual and collective security. But, as the sophistication of this type of systems increases, the concern about threat to individuals' right of privacy raises as well. Indeed, the video surveillance systems could breach personal privacy because location is clearly one of the most sensitive people information. Hence, preserving location privacy while achieving utility from it, is a challenging problem demanding the investigation of researchers. This paper tackles this non-trivial issue by designing a novel privacy-preserving architecture able to anonymously monitoring people access at the entrance of critical areas in an indoor space. At the same time our approach is able to provide full accountability in case of an accident or a legal requirement. Interestingly, our protocol is robust to server-side attacks and is efficient enough to be applied indoors through a set of IoT (Internet of Things) smart camera devices.

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Image Security Algorithms—Proposed Methods and Critical Performance Analysis for the Best Fit

Anusuya,

Navindran

2022

Lecture Notes in Electrical Engineering

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A Design for a Cryptographically Secure Pseudo Random Number Generator

Cited by 7 publications

References 2 publications

Cryptographically Secured Pseudo-Random Number Generators: Analysis and Testing with NIST Statistical Test Suite

Cryptographically Secured Pseudo-Random Number Generators: Analysis and Testing with NIST Statistical Test Suite

Anonymous Access Monitoring of Indoor Areas

Image Security Algorithms—Proposed Methods and Critical Performance Analysis for the Best Fit

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