With the rapid proliferation of Electric Vehicles (EVs) and the accompanying surge in data, the imperative to safeguard privacy while harnessing the potential of analytics has never been more critical. It is a groundbreaking exploration of data anonymization strategies for the electric mobility sector. As data, manipulation can lead to breach of confidentiality. It is important to prevent data from easy access and manipulation. In this paper, we represent how data is affected and what are the different techniques that can lead to data protection. These are discussed and compared with different parameters such as ease of implementation, accuracy, scalability in this paper.


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    Title :

    Electrifying Privacy: Innovative Data Anonymization Strategies for Electric Vehicle Analytics


    Contributors:


    Publication date :

    2024-07-31


    Size :

    754919 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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