A Digital Random Number Generator Based on Four Regional Examination of Double Scroll Chaos

Karatas, Onur; Ergün, Salih

doi:10.1109/lascas53948.2022.9789090

Cited by 2 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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. These algorithms work fine in the off-chain environment, where private data (i.e., seed) can be easily protected.…”

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

View full text Add to dashboard Cite

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.

show abstract