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 cost, count honesty, and voting reliability are crucial activities. 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 errors. Blockchain and zero-knowledge proof-based infrastructures support evaluation processes concurrently, enhancing voting privacy, data security, and transparency procedures. 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 errors. Blockchain and zero-knowledge proof-based infrastructures support evaluation processes concurrently, enhancing voting privacy, data security, and transparency procedures. The values obtained from the results of the obtained CNN algorithm and data privacy criteria are quite satisfactory.
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
Reference
[1]S. D. Ayyıldız and D. Arda, “Güvenli elektronik seçim için sır paylaşım şemalarının uygulanması,” M.S. thesis, Trakya Üniversitesi Fen Bilimleri Enstitüsü, 2021.
[2]N. Aydın, “Klasik oylama yönteminin elektronik oylama yöntemlerine evrilmesi,” Akdeniz Üniversitesi Hukuk Fakültesi Dergisi, vol. 12, no. II, pp. 711–744.
[3]Ö. Ü. G. E. Polat, “Blok zincir teknolojisi ve vergileme,” in Sosyal Bilimler Alanında Teori, Uygulama, Tarihsel ve Güncel Tartışmalar, 2022, p. 115.
[4]N. Kahraman, “Blokzincir teknolojisinin yerel yönetimlerde kullanımı,” in 21. Uluslararası Kamu Yönetimi Forumu Tam Metinler Kitabı, 2022, p. 77.
[5]V. G. Demirci, “Dijital reklamcılıkta makine öğrenmesi ve veri gizliliği,” Kent Akademisi, vol. 15, no. 3, pp. 1455–1474.
[6]Ö. Özkaya and İ. Toprak, “Türkiye’de güvenlik faaliyetleri kapsamında kişisel verilerin işlenmesi,” MANAS Sosyal Araştırmalar Dergisi, vol. 11, no. 3, pp. 1291–1305, 2022.
[7]X. Yang and W. Li, “A zero-knowledge-proof-based digital identity management scheme in blockchain,” Computers & Security, vol. 99, Art. no. 102050, 2020.
[8]M. K. Hasan, A. Alkhalifah, S. Islam, N. Babiker, A. K. M. Habib, A. H. M. Aman, and M. Hossain, “Blockchain technology on smart grid, energy trading, and big data: Security issues, challenges, and recommendations,” Wireless Communications and Mobile Computing, vol. 2022, 2022.
[9]J. J. Bambara and P. R. Allen, Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions. New York: McGraw-Hill Professional, 2018.
[10]M. Nofer, P. Gomber, O. Hinz, and D. Schiereck, “Blockchain,” Business & Information Systems Engineering, vol. 59, no. 3, pp. 183–187, 2017.
[11]X. Sun, F. R. Yu, P. Zhang, Z. Sun, W. Xie, and X. Peng, “A survey on zero-knowledge proof in blockchain,” IEEE Network, vol. 35, no. 4, pp. 198–205, 2021.
[12]M. D. V. Barros, F. Schardong, and R. F. Custódio, “Leveraging self-sovereign identity, blockchain, and zero-knowledge proofs to build a privacy-preserving vaccination pass,” arXiv preprint arXiv:2202.09207, 2022.
[13]J. Zhang, T. Xie, Y. Zhang, and D. Song, “Transparent polynomial delegation and its applications to zero knowledge proof,” in Proc. 2020 IEEE Symposium on Security and Privacy (SP), May 2020, pp. 859–876.
[14]J. Xu, B. S. Glicksberg, C. Su, P. Walker, J. Bian, and F. Wang, “Federated learning for healthcare informatics,” Journal of Healthcare Informatics Research, vol. 5, no. 1, pp. 1–19, 2021.
[15]T. Feneuil, A. Joux, and M. Rivain, “Syndrome decoding in the head: Shorter signatures from zero-knowledge proofs,” Cryptology ePrint Archive, 2022.
[16]T. Feng, P. Yang, C. Liu, J. Fang, and R. Ma, “Blockchain data privacy protection and sharing scheme based on zero-knowledge proof,” Wireless Communications and Mobile Computing, vol. 2022, Art. ID 1040662, 11 pages, 2022, doi: 10.1155/2022/1040662.
[17]Y. Fan, B. Xu, L. Zhang, J. Song, A. Zomaya, and K. C. Li, “Validating the integrity of convolutional neural network predictions based on zero-knowledge proof,” Information Sciences, 2023, doi: 10.1016/j.ins.2023.01.036.
[18]M. Babel and J. Sedlmeir, “Bringing data minimization to digital wallets at scale with general-purpose zero-knowledge proofs,” arXiv preprint arXiv:2301.00823, 2023, doi: 10.48550/arXiv.2301.00823.
[19]A. Goel, M. Agarwal, M. Vatsa, R. Singh, and N. Ratha, “Securing CNN model and biometric template using blockchain,” in Proc. 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS), Tampa, FL, USA, 2019, pp. 1–7, doi: 10.1109/BTAS46853.2019.9185999.
[20]J. A. Alzubi, O. A. Alzubi, A. Singh, and M. Ramachandran, “Cloud-IIoT-based electronic health record privacy-preserving by CNN and blockchain-enabled federated learning,” IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 1080–1087, Jan. 2023, doi: 10.1109/TII.2022.3189170.
[21]A. Srinivasulu, K. Ramanjaneyulu, R. Neelaveni, et al., “RETRACTED ARTICLE: Advanced lung cancer prediction based on blockchain material using extended CNN,” Applied Nanoscience, 2021, doi: 10.1007/s13204-021-01897-2.
[22]I. E. Livieris, N. Kiriakidou, S. Stavroyiannis, and P. Pintelas, “An advanced CNN-LSTM model for cryptocurrency forecasting,” Electronics, vol. 10, no. 3, Art. no. 287, 2021.
[23]A. B. Pawar, M. A. Jawale, P. William, G. S. Chhabra, D. S. Rakshe, S. K. Korde, and N. Marriwala, “Implementation of blockchain technology using extended CNN for lung cancer prediction,” Measurement: Sensors, vol. 24, Art. no. 100530, 2022.
[24]M. Ramanan, L. Singh, A. S. Kumar, A. Suresh, A. Sampathkumar, V. Jain, and N. Bacanin, “Secure blockchain-enabled cyber-physical health systems using ensemble convolution neural network classification,” Computers and Electrical Engineering, vol. 101, Art. no. 108058, 2022.
[25]M. U. Mia, M. Rahman, A. Elbeltagi, A.-A. Mahbub, G. Sharma, H. T. Islam, et al., “Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology,” Geocarto International, pp. 1–29, 2022.
[26]P. Li, W. Ou, H. Liang, W. Han, Q. Zhang, and G. Zeng, “A zero trust and blockchain-based defense model for smart electric vehicle chargers,” Journal of Network and Computer Applications, vol. 213, Art. no. 103599, 2023.
[27]X. Xiang, J. Cao, and W. Fan, “Decentralized authentication and access control protocol for blockchain-based e-health systems,” Journal of Network and Computer Applications, vol. 207, Art. no. 103512, 2022.
[28]F. Ş. Hjálmarsson, G. K. Hreiðarsson, M. Hamdaqa, and G. Hjálmtýsson, “Blockchain-based e-voting system,” in Proc. 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), Jul. 2018, pp. 983–986.
[29]M. Hajian Berenjestanaki, H. R. Barzegar, N. El Ioini, and C. Pahl, “Blockchain-based e-voting systems: A technology review,” Electronics, vol. 13, no. 1, Art. no. 17, 2023.
[30]R. Hanifatunnisa and B. Rahardjo, “Blockchain-based e-voting recording system design,” in Proc. 2017 11th International Conference on Telecommunication Systems Services and Applications (TSSA), Oct. 2017, pp. 1–6.
[31]S. Tanwar, N. Gupta, P. Kumar, and Y.-C. Hu, “Implementation of blockchain-based e-voting system,” Multimedia Tools and Applications, vol. 83, no. 1, pp. 1449–1480, 2024.