International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 187 - Issue 38 |
Published: September 2025 |
Authors: Jitendra Sharma, Jigyasu Dubey |
![]() |
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 (September 2025), 37-46. DOI=10.5120/ijca2025925660
@article{ 10.5120/ijca2025925660, author = { Jitendra Sharma,Jigyasu Dubey }, title = { ZkDelay Mitigating Transaction-Ordering Dependence Using Commitment Schemes and Verifiable Delay Functions in Smart Contracts }, journal = { International Journal of Computer Applications }, year = { 2025 }, volume = { 187 }, number = { 38 }, pages = { 37-46 }, doi = { 10.5120/ijca2025925660 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2025 %A Jitendra Sharma %A Jigyasu Dubey %T ZkDelay Mitigating Transaction-Ordering Dependence Using Commitment Schemes and Verifiable Delay Functions in Smart Contracts%T %J International Journal of Computer Applications %V 187 %N 38 %P 37-46 %R 10.5120/ijca2025925660 %I Foundation of Computer Science (FCS), NY, USA
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.