With the continuous development of the Internet of Vehicles (IoV), the cloud-assisted IoV is becoming an emerging and attractive paradigm, in which a growing number of IoV users use the cloud server to store the data collected from their smart devices, thereby relieving local costs to a great extent. In this case, considering that the third-party cloud as a commercial mechanism cannot guarantee data security, users choose to encrypt their own data before uploading it to the cloud server. Although the privacy and confidentiality of the uploaded data can be protected, the encryption method hinders data search due to its inherent “decrypt all-or-nothing” feature. To achieve encryption and data search on privacy-preserving data, many existing works of literature design various public key encryption with keyword search schemes that, however, suffers the disadvantage that they can work only between ciphertext encrypted under the same public key, which means that it is not suitable for some computations on cloud. Furthermore, most schemes also have failed to find out how to delegate the searched data securely and efficiently when the data owner is not convenient to address the data. Therefore, this study tends to test the equivalence between messages encrypted under different public keys for basic secure computation and delegating the right of decrypting searched data to the specified user. Then, a lightweight proxy re-encryption scheme with the equality test and temporary delegation (PRE-ET-TD) was put forward for the cloud-assisted IoV. Besides, the proposed scheme is collusion-resistant and proven secure against chosen ciphertext attack (CCA) in the random oracle model. Meanwhile, the experimental simulation indicates that the presented PRE-ET-TD is feasible and efficient.


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    Titel :

    Secure and Temporary Access Delegation With Equality Test for Cloud-Assisted IoV


    Beteiligte:
    Li, Wenchao (Autor:in) / Xia, Chunhe (Autor:in) / Wang, Chen (Autor:in) / Wang, Tianbo (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2022-11-01


    Format / Umfang :

    3594296 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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