Dynamic Data Integrity Auditing Method Supporting Privacy Protection in Vehicular Cloud Environment
ABSTRACT
The advantages of cloud storage make more and more tenants choose to outsource their data to the cloud. In vehicular ad hoc networks (VANETs), sensors on the vehicle can collect road information which is available for analyzing traffic conditions and their integrity must be guaranteed. Due to the limited storage capability, vehicles tend to store the valid information that was collected on the cloud servers. However, unlike using local storage devices, vehicles no longer have absolute control over the cloud data. Therefore, vehicles as the tenants of cloud are most concerned about the data integrity. Many existing integrity auditing schemes have problems such as low efficiency of data dynamic updating, leakage of data privacy and high auditing cost. To solve these problems, this paper proposes a dynamic data integrity auditing scheme that supports data privacy protection. Firstly, build the Hierarchical Multiple Branches Tree (HMBT) data authentication structure in the initialization phase. Secondly, design a data integrity auditing scheme based on the bilinear pairing mapping technology and the BLS digital signature mechanism, and describe in detail the process of data dynamic updating. Finally, security analysis and performance analysis are carried out in the evaluation of the scheme. The security analysis shows that this scheme can satisfy auditing correctness, support data privacy protection, resist forgery attack and replay attack. In performance analysis, the scheme is compared with the existing scheme. The results show that the scheme reduces the time cost of data integrity auditing and dynamic updating.
EXISTING SYSTEM :
In vehicular ad hoc networks (VANETs), sensors on the vehicle can collect road information which is available for analyzing traffic conditions and their integrity must be guaranteed. Due to the limited storage capability, vehicles tend to store the valid information that was collected on the cloud servers. However, unlike using local storage devices, vehicles no longer have absolute control over the cloud data. Therefore, vehicles as the tenants of cloud are most concerned about the data integrity. Many existing integrity auditing schemes have problems such as low efficiency of data dynamic updating, leakage of data privacy and high auditing cost.
PROPOSED SYSTEM :
This paper proposes a dynamic data integrity auditing scheme that supports data privacy protection. Firstly, build the Hierarchical Multiple Branches Tree (HMBT) data authentication structure in the initialization phase. Secondly, design a data integrity auditing scheme based on the bilinear pairing mapping technology and the BLS digital signature mechanism, and describe in detail the process of data dynamic updating. Finally, security analysis and performance analysis are carried out in the evaluation of the scheme. The security analysis shows that this scheme can satisfy auditing correctness, support data privacy protection, resist forgery attack and replay attack. In performance analysis, the scheme is compared with the existing scheme.
CONCLUSION :
In VANETs, vehicles constantly collect road condition information and want to save it for later use and analysis, but the local storage capacity is limited. Therefore, the combination of VANETs and cloud storage becomes a good choice. Vehicles, as cloud tenants, outsource data to cloud servers. In order to ensure the integrity of data, an effective data integrity auditing scheme is essential. This paper proposes an efficient and secure data integrity auditing scheme. This scheme constructs the HMBT authentication structure, which not only effectively reduces the height of the authentication structure, but also enable tenant to dynamically update data with different granularity. In data preprocessing, this scheme colors the data, preventing the third party auditor from stealing data privacy of tenant during the process of evidence verification.
Finally, theoretical analysis proves that the data integrity verification scheme is safe. It is insufficient that the communication cost is slightly greater than the document .