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2024 | OriginalPaper | Buchkapitel

Enhancing Privacy in VANET Through Attribute-Based Encryption and Blockchain Integration: Uncovering the Benefits and Challenges

verfasst von : Vandani Verma, Chinmay

Erschienen in: Cryptology and Network Security with Machine Learning

Verlag: Springer Nature Singapore

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Abstract

With the popularity of blockchain innovation, data security has become a concern. The blockchain framework is transparent and immutable, but its unique strategy creates problems for protecting sensitive data. This article discusses attribute-based encryption (ABE) as a plan to improve data security in the context of blockchain. ABE concept in the context of blockchain provides a good way to ensure data security, improve customer privacy, and increase trust in a distribution system. This paper examines the building blocks of ABE and VANET and examines its potential application to protect information security within the blockchain framework. Additionally, the paper highlights the importance of integrating privacy-enhancing advances like VANET into blockchain systems to address evolving challenges in data protection. By taking advantage of attribute-based encryption, the blockchain framework can reduce the security risks associated with the current while maintaining the immutability and security key led by blockchain innovation.

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Titel: Enhancing Privacy in VANET Through Attribute-Based Encryption and Blockchain Integration: Uncovering the Benefits and Challenges
verfasst von: Vandani Verma
Chinmay
Verlag: Springer Nature Singapore
Buch: Cryptology and Network Security with Machine Learning
Print ISBN: 978-981-9706-40-2

Electronic ISBN: 978-981-9706-41-9

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-97-0641-9_19

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