Balancing Openness and Secrecy: ZKP Implementation in Blockchain Transactions

Authors

  • Pranadeep Katari, Venkat Rama Raju Alluri, Sai Ganesh Reddy Bojja

Keywords:

Blockchain Privacy, zk-STARKs, Cryptographic Proofs, Transaction Confidentiality, Implementation Challenges, Zero-Knowledge Proofs, Privacy-Preserving Transactions, Blockchain, zk-SNARKs, Cryptographic Techniques.

Abstract

Blockchain reconciles privacy, security, and transparency. Private blockchain transactions with Zero-Knowledge Proofs address these issues. The philosophy, implementation, efficiency, and security of blockchain zero-knowledge proofs are examined. Zero-knowledge proofs enable the prover to demonstrate a statement to the verifier without revealing any additional information. This essential service safeguards blockchain transactions. We examine interactive, non-interactive, and zero-knowledge proof methods such as STARKs and zk-SNARKs.

Zero-Knowledge Proof blockchain topologies ensure transaction confidentiality. Zero-Knowledge Proof blockchain contracts mitigate data exposure risk through encryption. Transaction data, including party names and amounts, must remain confidential; hence, this enhancement in privacy is essential. The stages of blockchain ZKP implementation encompass both theoretical and practical components. The construction of ZKP protocols, the fabrication of cryptographic proof, verification processes, and the integration of blockchain consensus are addressed. Many blockchain case studies employ Zero-Knowledge Proofs (ZKP). Case studies illustrate the security and privacy advantages of zero-knowledge proofs within blockchain networks.

The trade-offs between privacy and computational efficiency for enhancing the performance of zero-knowledge proof transactions are analyzed. The paper examines the potential of Zero-Knowledge Proofs (ZKPs) to enhance transaction privacy without compromising blockchain network capacity or latency. Zero-Knowledge Proofs safeguard blockchain information and confidentiality.

Implementing Blockchain Zero-Knowledge Proofs is challenging. We analyze computational challenges, scalability, and network performance in the context of ZKP development and testing. These issues are resolved to enhance ZKP implementation and scalability.

Examining the future of blockchain transactions that utilize zero-knowledge proofs for privacy preservation. The report recommends the incorporation of blockchain technology, improvements in cryptography, and increases in the efficiency of zero-knowledge proof protocols. The research tackles these concerns to enhance the privacy and security of blockchain transactions.

Zero-Knowledge We assess all blockchain verifications and privacy-enhancing transactions. Theory, implementation, case studies, and performance examine the advantages and disadvantages of ZKP-based privacy solutions. Research on blockchain technology has the potential to enhance privacy, efficiency, and security.

Downloads

Download data is not yet available.

References

Androulaki, E., Karame, G. O., Roeschlin, M., Scherer, T., & Capkun, S. (2013). Evaluating user privacy in bitcoin. In International Conference on Financial Cryptography and Data Security (pp. 34-51). Springer, Berlin, Heidelberg.

Ben-Sasson, E., Chiesa, A., Garman, C., Green, M., Miers, I., Tromer, E., & Virza, M. (2014). Zerocash: Decentralized anonymous payments from bitcoin. In 2014 IEEE Symposium on Security and Privacy (pp. 459-474). IEEE.

Biryukov, A., & Tikhomirov, S. (2019). Deanonymization and linkability of cryptocurrency transactions based on network analysis. In 2019 IEEE European Symposium on Security and Privacy (EuroS&P) (pp. 172-184). IEEE.

Bowe, S., Gabizon, A., & Green, M. D. (2018). A multi-party protocol for constructing the public parameters of the Pinocchio zk-SNARK. In International Conference on Financial Cryptography and Data Security (pp. 64-77). Springer, Berlin, Heidelberg.

Bunz, B., Bootle, J., Boneh, D., Poelstra, A., Wuille, P., & Maxwell, G. (2018). Bulletproofs: Short proofs for confidential transactions and more. In 2018 IEEE Symposium on Security and Privacy (SP) (pp. 315-334). IEEE.

Goldwasser, S., Micali, S., & Rackoff, C. (2019). The knowledge complexity of interactive proof systems. SIAM Journal on computing, 18(1), 186-208.

Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016). Hawk: The blockchain model of cryptography and privacy-preserving smart contracts. In 2016 IEEE symposium on security and privacy (SP) (pp. 839-858). IEEE.

Miers, I., Garman, C., Green, M., & Rubin, A. D. (2013). Zerocoin: Anonymous distributed e-cash from bitcoin. In 2013 IEEE Symposium on Security and Privacy (pp. 397-411). IEEE.

Parno, B., Howell, J., Gentry, C., & Raykova, M. (2013). Pinocchio: Nearly practical verifiable computation. In 2013 IEEE Symposium on Security and Privacy (pp. 238-252). IEEE.

Ruffing, T., Moreno-Sanchez, P., & Kate, A. (2014). CoinShuffle: Practical decentralized coin mixing for Bitcoin. In European Symposium on Research in Computer Security (pp. 345-364). Springer, Cham.

Senthilkumar, S., Brindha, K., Kryvinska, N., Bhattacharya, S., & Reddy Bojja, G. (2021). SCB-HC-ECC–based privacy safeguard protocol for secure cloud storage of smart card–based health care system. Frontiers in Public Health, 9, 688399.

Sasson, E. B., Chiesa, A., Tromer, E., & Virza, M. (2014). Succinct non-interactive zero knowledge for a von Neumann architecture. In 23rd {USENIX} Security Symposium ({USENIX} Security 14) (pp. 781-796).

Teufl, P., Orthacker, C., & Kraxberger, S. (2012). Anonymity and information leakage in Bitcoin. In Information and Communications Security (pp. 176-190). Springer, Berlin, Heidelberg.

Van Saberhagen, N. (2013). CryptoNote v 2.0. White Paper.

Wood, G. (2014). Ethereum: A secure decentralised generalised transaction ledger. Ethereum project yellow paper, 151(2014), 1-32.

Zhang, Y., Long, Y., Liu, Z., Liu, Z., & Gu, D. (2019). Z-channel: Scalable and efficient scheme in zerocash. Applied Sciences, 9(6), 1077.

Downloads

Published

30.08.2023

How to Cite

Pranadeep Katari. (2023). Balancing Openness and Secrecy: ZKP Implementation in Blockchain Transactions. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 653–662. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7302

Issue

Section

Research Article