Real-Time Data Integrity Validation Using Blockchain for Autonomous Vehicles

This article presents a comprehensive framework for implementing blockchain-based data integrity validation in autonomous vehicles. The proposed system addresses critical challenges in securing real-time sensor data through a hybrid architecture combining Hyperledger Fabric with Apache Kafka. By integrating distributed ledger technology with optimized data processing mechanisms, the system achieves both security and performance requirements essential for autonomous vehicle operations. The architecture incorporates smart contracts for data validation, multi-layered security protocols, and efficient data streaming capabilities. Results demonstrate that the proposed solution successfully balances the competing demands of data security and real-time processing, making it suitable for deployment in production autonomous vehicle environments.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-03-15
DOI
https://doi.org/10.32628/cseit25112455
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
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article

Real-Time Data Integrity Validation Using Blockchain for Autonomous Vehicles

Raghavendra Kurva
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Cloud Data Security Solutions
article

Real-Time Data Integrity Validation Using Blockchain for Autonomous Vehicles

Raghavendra Kurva
article en

Abstract

This article presents a comprehensive framework for implementing blockchain-based data integrity validation in autonomous vehicles. The proposed system addresses critical challenges in securing real-time sensor data through a hybrid architecture combining Hyperledger Fabric with Apache Kafka. By integrating distributed ledger technology with optimized data processing mechanisms, the system achieves both security and performance requirements essential for autonomous vehicle operations. The architecture incorporates smart contracts for data validation, multi-layered security protocols, and efficient data streaming capabilities. Results demonstrate that the proposed solution successfully balances the competing demands of data security and real-time processing, making it suitable for deployment in production autonomous vehicle environments.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
Chicago State University (US)
Openalex Percentile: Top 94%
Cloud Data Security Solutions
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