期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：4
页码：7684
DOI：10.15680/IJIRCCE.2017.05040210
出版社：S&S Publications
摘要：Due to the rapid expansion of data, the data owners tend to store their data into the cloud to release theburden of data storage and maintenance. However, as the cloud customers and the cloud server are not in the sametrusted domain, our outsourced data may be under the exposure to the risk. Thus, before sent to the cloud, the sensitivedata needs to be encrypted to protect for data privacy and combat unsolicited accesses. Unfortunately, the traditionalplaintext search methods cannot be directly applied to the encrypted cloud data any more.As the storage and computingrequirements of users are increasing, every time data is getting transferred to the remote server in larger chunks, but it’snot necessary that the server on which the data is outsourced, is trusted server. In this paper, two of the privacypreserving issues about accessing the cloud data has been identified i.e. acuteness of keywords sent in queries and thedata fetched as a result of those queries. Both of them should to be hidden. To keep the privacy of documents, it shouldget encrypted before outsourcing to the cloud. Among various multi-keyword semantics, we choose the efficientprinciple of “parameter matching”, i.e., as many matches as possible, to capture the similarity between search queryand data documents. For preserving privacy, the proposed system uses Advance Encryption Standard (AES) algorithmand MD5 cryptographic technique. Here, the proposed and develop system takes input from user converted in toencrypted format to achieve privacy preservation and the multiple keywords enter for search files uses pattern matchingtechnique and gives proper file if the input keywords gets match properly.
关键词：Multi-keyword Ranked Search over Encrypted cloud data (MRSE); Privacy Preserving; Document;Indexing; Advance Encryption Standard (AES); Secure Cloud Storage
