International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 18, No. 4, 8 Aug. 2026
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Collecting Digital Data and Evidence with Zero Knowledge Based Smart Systems: Zk-CNNChain
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Author(s)
Remzi Gurfidan
1,*
Bekir AKSOY
2
Mevlut ERSOY
3
Index Terms
Blockchain, Zero-Knowledge Proof, Machine Learning, Data Privacy
Abstract
Large groups can make decisions via techniques like voting, referendums, and elections. During the realization and evaluation of these events, time efficiency, counting integrity, and voting reliability are crucial factors. Users can create their own polls, votes, and surveys using the interfaces created in this study. On these designed election processes, they can cast an electronic ballot. The CNN machine learning system evaluates the votes, or the counting process, with great accuracy, preventing manipulation and bias. Blockchain and zero-knowledge proof-based infrastructures support evaluation processes concurrently, enhancing voting privacy, data security, and transparency procedures. The results of the proposed CNN algorithm and the data privacy metrics demonstrate satisfactory performance.
Cite This Paper
Remzi GÜRFİDAN, Bekir AKSOY, Mevlüt ERSOY, "Collecting Digital Data and Evidence with Zero Knowledge Based Smart Systems: Zk-CNNChain", International Journal of Information Technology and Computer Science(IJITCS), Vol.18, No.4, pp.17-31, 2026. DOI:10.5815/ijitcs.2026.04.02
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