云環(huán)境中密文搜索技術(shù)的研究
[Abstract]:With the rapid development of cloud storage technology, more and more individuals or enterprises entrust a large number of private data to cloud service providers. Therefore, how to ensure the security and privacy of cloud private data has become a hot research topic in the field of information security. Data encryption is an effective way to ensure data security, but the retrieval of encrypted data is a very difficult task. Therefore, searchable encryption technology has become one of the research hotspots at home and abroad. The searchable public key encryption mechanism with keywords is one of the ciphertext search techniques. It can retrieve ciphertext by matching some attributes of ciphertext. It has extensive research and application value. In this paper, the search public key encryption technology with keywords and its application in cloud storage are studied. In view of the shortcomings of the existing public key searchable encryption schemes such as low efficiency and low security, it is necessary to use secure channel to transmit data. A new and efficient multi-keyword searchable public key encryption scheme (NSCF-PECK) is proposed in this paper. This scheme is based on bilinear pairs and uses common channels to transmit ciphertext. In the design of the whole algorithm, only two bilinear pairings are used, which greatly reduces the computational cost of searchable public key encryption technology. At the same time, the common channel is used to transmit encrypted data between client and cloud server, which reduces the cost of building secure channel. Finally, the consistency of NSCF-PECK scheme is proved, and the efficiency and security of the algorithm are analyzed. Based on the above NSCF-PECK searchable public key encryption scheme, this paper presents an application scheme of cloud ciphertext search system. The application scheme uses MapReduce parallel computing model technology to design the parallel search engine of the application scheme, and applies some open source technologies and distributed computing ideas to the application scheme. Make full use of cloud computing technology to improve the search efficiency of massive ciphertext. The system adopts layered and modularized design ideas to ensure the maintainability, extensibility and flexibility of the scheme.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TP309
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