Optimized VRF-Driven Distributed Randomness Generation Protocol

Optimizing algorithms is crucial when dealing with cases of tampering in secret projections during pseudorandom number generation. This paper examines several approaches to improve algorithmic performance in such situations. By uncovering weaknesses in existing methods and suggesting optimization techniques, we aim to strengthen the security and dependability of pseudorandom number generation algorithms.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10874948
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
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article

Optimized VRF-Driven Distributed Randomness Generation Protocol

Alexandra Afanasyeva, Sergey Bezzateev, Ivan Velichko
Energy Efficient Wireless Sensor Networks
article

Optimized VRF-Driven Distributed Randomness Generation Protocol

Alexandra Afanasyeva, Sergey Bezzateev, Ivan Velichko
article en

Abstract

Optimizing algorithms is crucial when dealing with cases of tampering in secret projections during pseudorandom number generation. This paper examines several approaches to improve algorithmic performance in such situations. By uncovering weaknesses in existing methods and suggesting optimization techniques, we aim to strengthen the security and dependability of pseudorandom number generation algorithms.

Saint Petersburg State University of Aerospace and Instrumentation (RU)
Openalex Percentile: Top 68%
Energy Efficient Wireless Sensor Networks
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Optimized VRF-Driven Distributed Randomness Generation Protocol — Alexandra Afanasyeva, Sergey Bezzateev, et al. · (2024) | TGRS Research Map | TGRS