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Multi-Receiver Data Authorization With Data Search for Data Sharing in Cloud-Assisted IoV
DOI:10.1109/TITS.2023.3328324.png)
摘要
En 中文
As technology advances in network technology, the Internet of Vehicles (IoV) has emerged as a prevalent solution for collecting and processing data in Intelligent Transportation Systems (ITS). The Internet of Vehicles (IoV) ecosystem utilizes sensors and interconnected devices to transmit essential information, facilitating effective real-time application deployment. The collected information of sensors is required to be encrypted before uploading to the cloud to protect IoV users' privacy. However, after achieving data confidentiality and authenticity, existing data encryption schemes in IoV have not considered data sharing and data search in the multi-receiver scenarios, such as with various devices in Vehicle-to-Everything (V2X). Retrieval of the needed data accurately from large masses of encrypted data in IoV and then sharing the ciphertext with a group of devices is a challenge that should be solved with priority. To address challenges, this paper makes the first attempt to achieve data sharing and data retrieval at the same time and proposes an efficient multi-receiver data authorization with data search (MR-DADS) scheme in this article. In our MR-DADS, when facing data sharing in IoV, the data owner is able to search the needed encrypted data and then share retrieval results with several IoV devices securely in batches. Furthermore, our scheme utilizes the technique of no pairing encryption technology to reduce the overhead. Then, we demonstrate that the proposed scheme is secure against the Type-I and Type-II adversaries in the random oracle. Finally, the proposed scheme is compared with related works from aspects and the analysis shows our scheme is efficient and practical.
Keyword:
Cloud-assisted IoV
re-encryption
equality test
privacy preserve
期刊
IF:
8.4
论文数:
9.7K
被引数:
6.3W
机构
引用论文
Efficient Public Key Encryption With Equality Test Supporting Flexible Authorization高效公钥加密,支持灵活授权的平等测试

