A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes

The processes of encryption facilitate the secure transmission of big data over the Ethereum blockchain. Experimental analysis is carried out to prove the efficacy and security offered by the suggested model in transferring big data over blockchain <i>via</i> smart contracts.

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Publication Details

Journal
PeerJ Computer Science
Published
2025-06-17
DOI
https://doi.org/10.7717/peerj-cs.2930
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
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article

A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes

P. M. Joe Prathap, S Swetha
1 citations
PeerJ Computer Science
Blockchain Technology Applications and Security
3.25
article

A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes

P. M. Joe Prathap, S Swetha
article en
1 citations

Abstract

The processes of encryption facilitate the secure transmission of big data over the Ethereum blockchain. Experimental analysis is carried out to prove the efficacy and security offered by the suggested model in transferring big data over blockchain <i>via</i> smart contracts.

PeerJ Computer ScienceVol. 11
Dr. M.G.R. Educational and Research Institute (IN)
Openalex Percentile: Top 8%
Blockchain Technology Applications and Security
3.25
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A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes — P. M. Joe Prathap, S Swetha · PeerJ Computer Science (2025) | TGRS Research Map | TGRS