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Title	Secure And Privacy Aware Data Sharing Approach For Smart Electric Vehicles
ID_Doc	47587
Authors	Das D.; Chaterjee P.; Ghosh U.; Blakely B.
Year	2025
Published	IEEE Consumer Electronics Magazine
DOI	http://dx.doi.org/10.1109/MCE.2025.3529398
Abstract	The integration of smart electric vehicles (SEVs) into smart cities marks a significant step toward creating efficient, sustainable, and connected urban spaces. However, secure and private data sharing is a major challenge as SEVs connect with smart city systems. The interaction between SEVs and consumer electronic devices (CEDs) raises serious concerns about data security and privacy. To address these challenges, this article presents how blockchain technology and federated learning (FL) can address these issues. The proposed approach provides a secure and privacy-aware framework for data exchange between SEVs and CEDs in smart cities. The experiment results demonstrate the effectiveness of the proposed framework for secure data sharing and maintaining system reliability in smart city environments. It also enables trust and promotes the widespread adoption of interconnected urban technologies. © 2012 IEEE.
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