期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：4
页码：883-886
语种：English
出版社：Ayushmaan Technologies
摘要：In cloud computing environment data security is an on-going challenging task hence the sensitive data has to be encrypted before outsourcing. In existing technique we retrieve the files from the cloud, by searching the keywords on the encrypted data [3]. They are many searching technique which were implemented in the cloud but the disadvantages with these technique supports only exact keyword search [2]. Typical users searching behaviors’ are happen very frequently these are the drawbacks with the existing system which are not suitable for cloud computing environment and which effects system usability [4]. Our proposed work in this paper concentrates on solving the problems of the user who search the data with the help of fuzzy keyword on cloud [1]. We formalize and solve the problems of effective fuzzy keyword search over encrypted cloud data while maintaining keyword privacy [6]. Using adaptive fuzzy search the exact keywords are displayed along with similarity keywords and number of views, which solve the problems faced by the cloud users. Adaptive fuzzy search is a new direction of research with in area of adaptive fuzzy search over encrypted data in cloud computing and user model-based interfaces. These systems build a model of the individual user and apply it to user adaptation. We show that our proposed solution is secure and privacy preserving [5], while correctly realizing the goal of fuzzy keyword search.
