期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：5
页码：580-585
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. We present a secure and efficient multi-keyword ranked search scheme over encrypted data, Specifically, the vector space model and the broadly utilized TF×IDF model are joined as a part of the record development and question era, which meanwhile supports flexible dynamic operations. The vector space model helps to provide sufficient search accuracy, and the AES encryption enables users to involve in the ranking while the majority of computing work is done on the server side by operations only on cipher text. As a result, information leakage can be eliminated and data security is ensured. The user can decrypt the encrypted documents with the shared secret key. To further propose a “Greedy Search (GDFS)” algorithm for accurate ranking calculations.
