Secure and Efficient Privacy-Preserving Cipher text Retrieval in Connected Vehicular Cloud Computing

Secure and Efficient Privacy-Preserving Cipher text Retrieval in Connected Vehicular Cloud Computing
ABSTRACT
As vehicular equipment is becoming more and more intelligent, the vehicular information service, as the main means of capturing information, has been far from able to meet the needs of occupants. Cloud computing, with its powerful computing and storage capabilities, convenient network access, energy saving and excellent scalability, reliability, availability, and other advantages, can be an effective solution to the limitations of existing automotive information services. Connected vehicular cloud computing, which combines cloud computing and VANETs, has the characteristics of both a cloud platform and a mobile ad hoc network, including autonomy and no fixed structure, good scalability, and so on. However, during the information retrieval, high-density node distribution and high-speed mobile nodes may directly affect the information transmission capacity of a VANET by information tampering, transmission delay, and other issues. In this article, we propose a ciphertext-based search system that exploits RSUs as super peers for connected vehicular cloud computing. The proposed system supports ciphertext retrieval for related documents. In the proposed system, all the computations and retrieval operations are handled by super stationary peers, while documents are stored in the cloud to achieve high efficiency and security of the index structure. We can also reduce the impact of vehicle dynamics on the information retrieval process in this way. In our system, the indexing efficiency is also improved by utilizing a hybrid indexing structure in which binary trees are nested in a B+ tree. Through security analysis and performance evaluation, we demonstrate that our proposal can achieve acceptable security and efficiency.
EXISTING SYSTEM :
Cloud computing, with its powerful computing and storage capabilities, convenient network access, energy saving and excellent scalability, reliability, availability, and other advantages, can be an effective solution to the limitations of existing automotive information services.The analysis of cloud environment and the characteristics of the user, we divide the users into personal domain (PSD) and public domain(PUD) logically. In the PSD, the KAE algorithm is applied to implement users read access permissions and greatly improved efficiency. The IABS scheme is employed to achieve the write permissions and the separation of read and write permissions to protect the privacy of the user’s identity. In the PUD, we use the HABE scheme to avoid the issues of single point of failure and to achieve data sharing.
PROPOSED SYSTEM :
Besides the security problem, a VANET is different from existing wireless ad hoc networks such as MANETs. The movement of vehicle nodes is fast and limited by the characteristics of road topology. The high-speed movement of the vehicle nodes leads to rapid changes in VANET topology and frequent network partitioning, which seriously affects the performance of data transmission between nodes. Deploying relatively static roadside unit (RSU) nodes in VANETs can improve the performance of VANET data delivery. We can also improve the efficiency of ciphertext retrieval by utilizing the RSU nodes as super peers. The rest of this article is organized as follows. We first present an introduction to ciphertext retrieval. Then an optimization strategy based on RSU auxiliary is presented. We further discuss the construction of our novel search system and provide the security analysis and performance evaluation of our schema. Finally, the conclusion will be drawn.
CONCLUSION
In this article, we first discuss the current situation of connected vehicular cloud computing. Then we propose a cloud-RSU-vehicle system where the super peer contains all the ciphertext-based index information of the files from data owners in the vehicle group. Then we propose a hybrid indexing structure with binary trees nested in a B+ tree to facilitate the ciphertext retrieval in CVCC. With such settings, all of the search operations within the network can be performed on the super peer next to the vehicles, which improves efficiency. We analyze and evaluate the scheme, and the experimental results show the security and efficiency our proposed scheme can achieve. In our future work, we will further discuss the possibility of enhancing the security in a CVCC system on the basis of ensuring efficiency. We will also study the storage reduction and fuzzy keyword search in connected vehicular cloud computing.