A Secured Charging System for Electric Vehicles Using Adaptive Block Chain Methodology

K, Rajesh O and N, Shanmugasundaram and V, Rajendran and K, Sushita (2023) A Secured Charging System for Electric Vehicles Using Adaptive Block Chain Methodology. In: 2023 9th International Conference on Smart Structures and Systems (ICSSS), CHENNAI, India.

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A Secured Charging System for Electric Vehicles Using Adaptive Block Chain Methodology _ IEEE Conference Publication _ IEEE Xplore.pdf

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Abstract

With the growing adoption of Electric Vehicles (EVs) and the essential for secure and consistent charging infrastructure, ensuring the integrity and privacy of charging transactions becomes paramount. The proposed system leverages the decentralized nature of block chain technology and adapts it to enhance the security and efficiency of EV charging operations. The adaptive block chain methodology addresses key challenges faced in EV charging systems such as transaction security, data privacy and scalability. The proposed system eliminates the necessity for a dominant authority, reducing the risk of single points of failure and unauthorized access. Furthermore, the adaptive block chain methodology addresses scalability challenges by employing consensus protocols optimized for EV charging systems. To enhance privacy, the system incorporates adaptive privacy mechanisms that allow users to control the level of information disclosure. Users can selectively share transaction details while keeping sensitive data confidential, preserving their privacy preferences. By dynamically adjusting the consensus mechanism based on network conditions and transaction volumes, the system ensures efficient transaction processing and prevents congestion, enabling seamless scalability as the number of EVs and charging stations grows. Simulation outcomes prove the efficacy of the proposed system in providing secure and reliable EV charging

Item Type: Conference or Workshop Item (Paper)
Subjects: Electrical and Electronics Engineering > Electrical Power and Machines
Divisions: Electrical and Electronics Engineering
Depositing User: Mr IR Admin
Date Deposited: 20 Sep 2024 10:52
Last Modified: 20 Sep 2024 10:52
URI: https://ir.vistas.ac.in/id/eprint/6750

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