A Survey on Chaos-Based Cryptosystems: Implementations and Applications

Bouteghrine, Belqassim; Tanougast, Camel; Sadoudi, Saïd

doi:10.1007/978-3-030-96964-6_6

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…General RNGs have been used in a centralized environment for decades and, hence, various random number algorithms are proposed for multiple domains, including network security, electronics and mechanics [24][25][26][27]. Several RNG methods aim to provide high data throughput [28][29][30], while ensuring at least similar security and simplicity.…”

Section: Centralized Versus Decentralized Random Number Generatorsmentioning

confidence: 99%

NativeVRF: A Simplified Decentralized Random Number Generator on EVM Blockchains

Werapun

Karode

Suaboot

et al. 2023

Systems

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Smart contracts refer to small programs that run in a decentralized blockchain infrastructure. The blockchain system is trustless, and the determination of common variables is done by consensus between peers. Developing applications that require generating random variables becomes significantly challenging—for instance, lotteries, games, and random assignments. Many random number generators (RNGs) for smart contracts have been developed for the decentralized environment. The methods can be classified into three categories: on-chain RNG, Verifiable Random Function (VRF), and the Commit–reveal scheme. Although the existing methods offer different strengths and weaknesses, none achieves the three important requirements for an ideal RNG solution: security, applicability, and cost efficiency. This paper proposes a novel RNG approach called Native VRF, which offers application development simplicity and cost efficiency while maintaining strong RNG security properties. Experimental results show that Native VRF has the same security properties as the widely used RNG methods, i.e., Randao and Chainlink VRF. On top of that, our work offers a much simpler setup process and lower hardware resources and developer expertise requirements. Most importantly, the proposed Native VRF is compatible with all Ethereum virtual machine (EVM) blockchains, contributing to the overall growth of the blockchain ecosystem.

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Section: Centralized Versus Decentralized Random Number Generatorsmentioning

confidence: 99%

NativeVRF: A Simplified Decentralized Random Number Generator on EVM Blockchains

Werapun

Karode

Suaboot

et al. 2023

Systems

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show abstract

“…Compared to traditional symmetric cryptography, chaos-based encryption/decryption schemes are more flexible (generic design, variable block size, and secret key can be easily enlarged), easier to implement, and have intrinsic security related to the properties of chaotic sequences [14,16]. Moreover, some of them use a substitution layer based on key-dependent S-boxes and not on fixed S-boxes as used in the Advanced Encryption Standard (AES) algorithm [17].…”

Section: Introductionmentioning

confidence: 99%

Design, Implementation, and Analysis of a Block Cipher Based on a Secure Chaotic Generator

et al. 2022

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This work proposes a new secure chaos-based encryption/decryption system, operating in cipher block chaining (CBC) mode, and analyze its performance. The cryptosystem includes a robust pseudorandom number generator of chaotic sequences (PRNG-CS). A strong chaos-based S-box is proposed to perform a circular substitution operation (confusion process). This PRNG-CS consists of four discrete 1-D chaotic maps, weakly coupled by a predefined coupling matrix M, to avoid, on the one hand, the divide-and-conquer attack and, on the other hand, to improve the generated sequence’s randomness and lengths. The noun is also used in the construction of the S-box. Moreover, a 2-D modified cat map and a horizontal addition diffusion (HAD) preceded by a vertical addition diffusion (VAD) are introduced to perform the diffusion process. The security analysis and numerous simulation results of the main components (PRNG-CS and S-box) as well as the whole cryptosystem reveal that the proposed chaos-based cryptosystem holds up against various types of statistical and cryptographic attacks.

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Random Number Generator Based on Hopfield Neural Network with Xorshift and Genetic Algorithms

Lecca,

Zegarra,

Santisteban

2023

Lecture Notes in Computer Science

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A Survey on Chaos-Based Cryptosystems: Implementations and Applications

Cited by 4 publications

References 21 publications

NativeVRF: A Simplified Decentralized Random Number Generator on EVM Blockchains

NativeVRF: A Simplified Decentralized Random Number Generator on EVM Blockchains

Design, Implementation, and Analysis of a Block Cipher Based on a Secure Chaotic Generator

Random Number Generator Based on Hopfield Neural Network with Xorshift and Genetic Algorithms

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