DEFILENS: A Cross-Chain Oracle Performance Benchmarking Framework For Decentralized Finance

Authors

  • Deepika Dash Department of Computer Science and Engineering, R. V. College of Engineering, Bengaluru, India
  • Bipin Raj C. Department of Computer Science and Engineering (Cyber-Security), R. V. College of Engineering, Bengaluru, India
  • B Jnyanadeep Department of Computer Science and Engineering (Cyber-Security), R. V. College of Engineering, Bengaluru, India
  • Anala M R Department of ISE, R. V. College of Engineering, Bengaluru, India Affiliated to Visvesvaraya Technological University, Machhe, Belagavi, Karnataka 590018

DOI:

https://doi.org/10.29284/30jzdw69

Keywords:

Blockchain, decentralized finance, oracle networks, cross-chain analysis, performance benchmarking, smart contracts, cryptocurrency, security assessment.

Abstract

The proliferation of decentralized finance (DeFi) has highlighted critical challenges in cross- chain oracle reliability and performance assessment. Traditional blockchain networks remain isolated from external data sources, creating the fundamental Oracle Problem that hinders institutional adoption of DeFi protocols. This paper presents DeFiLens, a comprehensive benchmarking framework that provides standard- ized performance metrics and real-time analytics across multiple blockchain ecosystems including Ethereum, Binance Smart Chain, Polygon, and Avalanche. Our framework addresses the gap between traditional finance’s seamless market data access and blockchain’s data isolation through systematic oracle assessment. DeFiLens implements a six-layer security scoring system encompassing cryptographic verification, attack detection, and network health monitoring. Through extensive evaluation of major oracle providers including Chainlink, Band Protocol, and Tellor, we demonstrate significant performance variations across chains, with response times ranging from 2.1 seconds to 8.7 seconds and reliability scores varying between 72% and 95%. Our statistical analysis reveals critical arbitrage opportunities with price discrepancies up to 2.3% across chains. The framework serves as a ‘‘Bloomberg Terminal’’ for oracle data, enabling financial institutions, DeFi protocols, and researchers to make data-driven decisions for oracle integration and risk management.

References

[1] DeFi Pulse, "Total Value Locked in DeFi," 2023. [Online]. Available: https://defipulse.com/

[2] P. Zhang, M. A. White, D. C. Schmidt, and G. Lenz, "Applying software patterns to address interoperability in blockchain-based healthcare apps," arXiv preprint arXiv:1706.03700, 2019.

[3] B. Liu, X. L. Yu, S. Chen, X. Xu, and L. Zhu, "Blockchain based data integrity service framework for IoT data," in Proc. IEEE International Conference on Web Services (ICWS), 2020, pp. 468-475.

[4] S. M. Werner, D. Perez, L. Gudgeon, A. Klages-Mundt, D. Harz, and W.

J. Knottenbelt, "SoK: Decentralized finance (DeFi)," in Proc. 4th ACM Conference on Advances in Financial Technologies, 2021, pp. 30-46.

[5] K. Mammadzada, M. Iqbal, F. Milani, L. García-Bañuelos, and R. Mat- ulevičius, "Towards a reference architecture for trusted data marketplaces: The credit scoring perspective," in Proc. IEEE International Conference on Software Architecture (ICSA), 2020, pp. 95-105.

[6] N. Szabo, "Formalizing and securing relationships on public networks," First Monday, vol. 2, no. 9, 1997.

[7] J. Adler, R. Berryhill, A. Veneris, Z. Poulos, N. Veira, and A. Kastania, "Astraea: A decentralized blockchain oracle," in Proc. IEEE International Conference on Internet of Things (iThings), 2018, pp. 1145-1152.

[8] S. Ellis, A. Juels, and S. Nazarov, "ChainLink: A decentralized oracle network," Chainlink whitepaper, 2017.

[9] Band Protocol Team, "Band Protocol: Secure and scalable decentralized oracle for Web3.0," Band Protocol whitepaper, 2020.

[10] J. Heiss, C. Eberhardt, and S. Tai, "From oracles to trustworthy data on- chain: the chainlink approach," in Proc. IEEE International Conference on Blockchain (Blockchain), 2019, pp. 534-541.

[11] M. Zamani, M. Movahedi, and M. Raykova, "RapidChain: Scaling blockchain via full sharding," in Proc. ACM SIGSAC Conference on Computer and Communications Security, 2018, pp. 931-948.

[12] J. Xu, K. Paruch, S. Cousaert, and Y. Feng, "SoK: Decentralized exchanges (DEX) with automated market maker (AMM) protocols," arXiv preprint arXiv:2103.12732, 2021.

[13] N. Atzei, M. Bartoletti, and T. Cimoli, "A survey of attacks on Ethereum smart contracts (SoK)," in Proc. 6th International Conference on Principles of Security and Trust, 2017, pp. 164-186.

[14] L. Zhou, K. Qin, A. Cully, B. Livshits, and A. Gervais, "On the just-in- time discovery of profit-generating transactions in DeFi protocols," in Proc. IEEE Symposium on Security and Privacy (SP), 2021, pp. 919-936.

[15] Tellor Team, "Tellor: A decentralized oracle network," Tellor whitepaper, 2019.

[16] Coin Metrics, "Cryptocurrency market data and analytics," 2023. [Online].

Available: https://coinmetrics.io/

[17] ConsenSys, "Ethereum 2.0 economics and security," Technical Report, 2023.

[18] Messari, "The State of DeFi: Q3 2023 Report," 2023.

[19] Dune Analytics, "DeFi protocol analytics and metrics," 2023. [Online].

Available: https://dune.com/

[20] CoinGecko, "Cryptocurrency prices and market data," 2023. [Online]. Available: https://www.coingecko.com/

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Published

2025-12-10

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Section

Articles

How to Cite

[1]
D. Dash, B. R. C., B. Jnyanadeep, and A. M. R, “DEFILENS: A Cross-Chain Oracle Performance Benchmarking Framework For Decentralized Finance”, IJASIS, pp. 608–623, Dec. 2025, doi: 10.29284/30jzdw69.

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