An Efficient Privacy-Preserving Data Aggregation Protocol for Edge Computing Assisted VANETs

Nizamud Din; Muhammad Sadiq Khan; Attaullah

Author(s)

Nizamud Din Department of Computer Science, University of Chitral,Chitral 17200,Pakistan

Muhammad Sadiq Khan Department of Computer Science, University of Chitral,Chitral 17200,Pakistan

Attaullah Department of Computer Science, University of Chitral,Chitral 17200,Pakistan

Abstract

Edge computing empowers Vehicular Ad-hoc Networks (VANETs) to perform local computations on data gathered by vehicles for decision-making. Privacypreserving data aggregation is essential for reliable decisions and timely responses. This paper proposes a privacy-preserving data aggregation protocol using homomorphic signcryption for edge-enabled VANETs. The proposed protocol provides essential security attributes, including privacy protection, authentication, and data integrity. Additionally, it enables edge nodes to perform operations on encrypted data. A comparative analysis with state-of-the-art existing schemes is presented. The analysis shows that the proposed scheme reduces computation cost from 72% to 98% at the vehicular, edge and cloud servers and 54% to 75% communication overhead in the registration phase. In the data upload request phase, the proposed scheme reduces computation cost from 72% to 98% at vehicular, edge and cloud servers and communication overhead from 16% to 36%. While in the encrypted data generation/aggregation/decryption phase, the proposed protocol reduces computation cost from 25% to 97% at vehicular, edge and cloud servers and communication overhead from 6% to 89%. The proposed scheme exhibits lower implementation and memory consumption, making it an attractive solution for resource-constrained environments.

Publication Details

Page(s) 1-15

DOI DOI not available

Published Journal: The Sciencetech, Volume: 6, Issue: 2, Year: 2025

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Keywords

Data aggregation, Confidentiality, Vehicular Ad-hoc Networks, data Aggregation, Signcryption, data aggregation, Edge Computing, Privacy

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