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Role of Cryptography, Blockchain, and Digital Forensics in Vehicular Networks

Role of Cryptography, Blockchain, and Digital Forensics in Vehicular Networks

Aradhana Behura
Copyright: © 2023 |Pages: 22
ISBN13: 9798369311868|ISBN13 Softcover: 9798369348567|EISBN13: 9798369311875
DOI: 10.4018/979-8-3693-1186-8.ch020
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MLA

Behura, Aradhana. "Role of Cryptography, Blockchain, and Digital Forensics in Vehicular Networks." Sustainable Science and Intelligent Technologies for Societal Development, edited by Brojo Kishore Mishra, IGI Global, 2023, pp. 358-379. https://doi.org/10.4018/979-8-3693-1186-8.ch020

APA

Behura, A. (2023). Role of Cryptography, Blockchain, and Digital Forensics in Vehicular Networks. In B. Mishra (Ed.), Sustainable Science and Intelligent Technologies for Societal Development (pp. 358-379). IGI Global. https://doi.org/10.4018/979-8-3693-1186-8.ch020

Chicago

Behura, Aradhana. "Role of Cryptography, Blockchain, and Digital Forensics in Vehicular Networks." In Sustainable Science and Intelligent Technologies for Societal Development, edited by Brojo Kishore Mishra, 358-379. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/979-8-3693-1186-8.ch020

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Abstract

Secure routing is challenging due to its dynamic topology change, energy consumption, connectivity, delay, high velocity, and congestion of vehicles. The essential features, for example, security, device heterogeneity, bandwidth, multihop routes, congestion, and malicious node detection, are the critical constraints in planning the secure QoS (quality of service) based schemes for VANET. The author explained a detailed review regarding types of outliers that may be possible in the vehicular network. It is a comprehensive review of cryptography, blockchain, and digital forensics role in VANETs. In this review, some features, applications, protocols, challenges, performance analyses and limitations of various technologies are carried out, and the future direction of the existing routing protocols, which will help to compare results with the proposed new algorithm. This chapter demonstrates how these existing methods have suggestively enriched the performance and provided technical direction for vehicular researchers.

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