期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：4
页码：552-556
出版社：Shri Pannalal Research Institute of Technolgy
摘要：cloud, coming days is accustomed, more and more receptive data are being centralized into the cloud. In cloud, we make perceptive information habitually have to be ciphertext before outsourcing because of protecting of data privacy; it makes efficient information exploitation a very tough assignment. While traditional searchable ciphertext schemes permit a consumer to securely seek over ciphertext information through keywords and selectively reclaim records of attention, these techniques bear only precise keyword search. That is, here is lenience of trivial typos and configure inconsistencies which, on another hand, are distinctive consumer penetrating activities and happen very recurrently. This momentous negative aspect makes existing techniques incongruous in cloud computing as it significantly affects system usability, interpretation user penetrating experiences very testing and system efficacy very low. In this paper, we proposing EKST an efficient keyword searching technique as a solution and solve the crisis of searching the fuzzy keyword over encrypted cipharcloud data while maintaining keyword confidentiality. Th e proposed search ing techniqu e deeply enhances system usability by presentencing the matching files when user's searching inputs exactly match the predefined keywords or the clos est possible matching files based on keyword comparison semantics, when exact match fails. Our EKST greatly reduces the storage and depiction overheads, we develop revise space to enumerate fuzzified keywords similarity and implement a method on constructing fuzzified keyword sets, Through accurate security study, we show that our proposal is secure and privacy-preserving.
