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R&D: Identity-Based Public Auditing for Cloud Storage of Internet-of-Vehicles Data

Theoretical analyses and experimental results demonstrate that scheme can securely and efficiently realize public auditing for IoV data, and outperforms previous ones in both computation and communication overheads in most cases.

ACM Transactions on Internet Technology has published an article written by Hui Tian, Fang Peng, College of Computer Science and Technology, National Huaqiao University, Xiamen 361021, China, and Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China, Hanyu Quan, College of Computer Science and Technology, National Huaqiao University, Xiamen 361021, China, and Chin-Chen Chang, Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan.

Abstract: The Internet of Vehicles (IoV), with the help of cloud computing, can provide rich and powerful application services for vehicles and drivers by sharing and analysing various IoV data. However, how to ensure the integrity of IoV data with multiple sources and diversity outsourced in the cloud is still an open challenge. To address this concern, this paper first presents an identity-based public auditing scheme for cloud storage of IoV data, which can fully achieve the essential function and security requirements, such as classified auditing, multi-source auditing and privacy protection. Particularly, we design a new authenticated data structure, called data mapping table, to track the distribution of each type of IoV data to ensure fine and rapid audits. Moreover, our scheme can reduce the overheads for both the key management and the generation of block tags. We formally prove the security of the presented scheme and evaluate its performance by comprehensive comparisons with the state-of-the-art schemes designed for traditional scenarios. The theoretical analyses and experimental results demonstrate that our scheme can securely and efficiently realize public auditing for IoV data, and outperforms the previous ones in both the computation and communication overheads in most cases.