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

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Cryptology and Network Security with Machine Learning (ICCNSML 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 918))

  • 81 Accesses

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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Authors and Affiliations

  1. Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India

    Vandani Verma &  Chinmay

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  1. Vandani Verma
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  2. Chinmay
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Correspondence to Vandani Verma .

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Editors and Affiliations

  1. Department of Mathematics, Pranveer Singh Institute of Technology, Kanpur, India

    Atul Chaturvedi

  2. Department of Mathematics, Indian Institute of Technology Jammu, Jammu, India

    Sartaj Ul Hasan

  3. Applied Statistics Unit, Indian Statistical Institute, Kolkata, India

    Bimal Kumar Roy

  4. Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel

    Boaz Tsaban

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Verma, V., Chinmay (2024). Enhancing Privacy in VANET Through Attribute-Based Encryption and Blockchain Integration: Uncovering the Benefits and Challenges. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_19

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  • DOI: https://doi.org/10.1007/978-981-97-0641-9_19

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  • Online ISBN: 978-981-97-0641-9

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