Research On Searchable Encryption Technique In Cloud Environment

With the rapid development of cloud storage technology, more and more individuals or enterprises entrust to store the private data in the cloud server. So, how to ensure the security and privacy of the private data is becoming a hot research topic in the field of information security. As we all know, the data encryption is an effective way to ensure data security. However, the retrieval of the encrypted data is a very difficult task. Therefore, searchable encryption technology is to become one of the hottest research aspects at home and abroad. As one of the searchable encryption techniques, public key encryption with conjunctive keywords search, which retrieves the cipher text by matching some of its properties, has more extensive valuable in both research and application. This paper is mainly to study searchable public key encryption technique and use the technique in the cloud storage.Now there are still several disadvantages in the existing schemes of searchable public key encryption, such as lower efficiency, lower security or they have to use secure channel to transmit the data. This paper presents an efficient scheme for public key encryption with conjunctive keyword search based on pairings (NSCF-PECK), which is secure and channel-free. Throughout the algorithm only two bilinear operators are used, which reduces the computational expense greatly. Meanwhile, the public channel is adopted to transmit the data between the server and the client, which reduce the overhead of building secure channel. At last, the consistency of the NSCF-PECK scheme is proved, and its efficiency and security are also analyzed.Based on the NSCF-PECK searchable encryption scheme, this paper presents a cipher-text searchable encryption application system in the cloud storage. The parallel computing model of MapReduce is used as the core technology to design the search engine, and the open source technology and distributed computing ideas are used in the application system widely. This system takes full advantages of cloud computing technology to improve search efficiency of massive cipher texts in the cloud storage. Furthermore, The idea of hierarchical and componentized design is employed to make this system maintainable, scalable and flexible.