Optchain: an advanced optimization method for enhancing IoT data security viablockchain

• Autorzy: Kokate Shatakshi , Shrawankar Urmila

Identyfikatory

DOI

10.7494/csci.2025.26.4.6414

• Języki publikacji: EN

Abstrakty

EN

The increased use of IoT devices in various domains generates abundant data traffic. Securing this data during its transfer and storage is essential. Blockchain is now a trending technology to provide security to the data; however, it is observed that blockchain performs poorly while managing large volume data. To mitigate this issue, an advanced Optchain method to reduce the data size before submitting it to the blockchain network is discussed in this paper. This Optchain method optimizes IoT-generated data using data-classification and compression techniques. The classification of data as relevant or irrelevant is based on predefined thresholds of critical healthcare parameters. Subsequently, the Optchain method employs the Z-standard algorithm for compressing only the relevant data, ensuring efficient storage and faster blockchain transactions. Simulation results using the iFogSim simulator and Ethereum blockchain demonstrated improved storage costs and computational times compared to traditional methods.

Słowa kluczowe

EN

data classification; data compression; IoT; blockchain; security; random forest; Z-standard

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2025
• Tom: T. 26 (4)
• Strony: 105--130
• Opis fizyczny: Bibliogr. 27 poz., rys., tab., wykr.

Twórcy

autor

Kokate Shatakshi

• G. H. Raisoni College of Engineering Nagpur, Department of Computer Science and Engineering, India

• https://orcid.org/0000-0002-3257-8099

autor

Shrawankar Urmila

• Shri. Ramdeobaba College of Engineering and Management, Department of Computer Science and Engineering, Nagpur, India

• https://orcid.org/0000-0003-4523-9501

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).