International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 187 - Number 38 |
Year of Publication: 2025 |
Authors: Jitendra Sharma, Jigyasu Dubey |
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Jitendra Sharma, Jigyasu Dubey . ZkDelay: Mitigating Transaction-Ordering Dependence using Commitment Schemes and Verifiable Delay Functions in Smart Contracts. International Journal of Computer Applications. 187, 38 ( Sep 2025), 37-46. DOI=10.5120/ijca2025925660
Transaction-Ordering Dependence (TOD) is a potential vulnerability of blockchain-based smart contracts, which allows malicious actors to exploit the order of transactions to obtain financial profit through front-running and back-running strategies. The purpose of this paper is to present ZkDelay, a new framework that jointly uses commitment schemes and Verifiable Delay Functions (VDFs) to counter TOD in decentralized applications. ZkDelay introduces a two-step transaction scheme: a user makes a cryptographic commitment to a transaction without announcing its purpose, and then, upon completing a verifiable delay with a VDF, the intended transaction can be revealed and carried out. This temporal discontinuity, combined with cryptographic acknowledgments, prevents adversaries from interfering with actionable knowledge in real-time, thereby eliminating any ordering-based attack possibilities. Moreover, ZkDelay is transparent and trustless, as it can be used to verify both commitments and delay execution through zero-knowledge proofs, without leaking sensitive data. Additional sections dedicated to rigorous security analysis and performance analysis in Ethereum-like environments are provided in the paper, demonstrating that ZkDelay incurs only a low amount of computational overhead and that it exponentially improves resistance to TOD attacks. The solution can be deployed in existing smart contract systems and adapted to DeFi protocols, order-sensitive auctions, and other mechanisms. ZkDelay addresses the challenge of integrating privacy-preserving mechanisms with the fairness of execution by providing a scalable and practical solution to one of the most prevalent security issues in smart contract environments.