文章基本信息

标题：Efficient Semantic Search over Encrypted Data in Cloud Computing
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作者：Yash Khare ; Asif Shaikh ; Akshay Gole 等
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：5
页码：9353
DOI：10.15680/IJIRCCE.2017.0505019
出版社：S&S Publications
摘要：Now a day, use of cloud storage for storing and retrieving huge amount of data has been increasedtremendously. Storing and retrieving such a large amount of data consumes lot of time as data in the cloud needs to bealways stored in encrypted format while storing and needs to be decrypted while searching. This ultimately slows downthe process of searching. To avoid this massive consumption of time, data searching speed can be increased by directlysearching over encrypted data in the cloud. There are many methodologies available in the market for searching theencrypted data over the cloud. Most of these methodologies for search over encrypted data in the cloud are havingsome performance issues that can lead to lower the accuracy of the technique, so this paper proposes a novel idea ofsearch over encrypted data in the cloud. This method applies the data search over encrypted data in the cloud and this isachieved by extracting data features while uploading the file into a cloud and search is conducted on this features datato get the appropriate files. In this paper, we are implementing bucket creation technique along with AES encryptionfor storing data to the cloud. In addition to this we are using a bloom filter for searching necessary information over theencrypted data in the cloud. The main advantage of our methodology over the existing search systems is that it supportsan extreme speed of data searching.
关键词：AES encryption; bloom filters; cloud; feature extraction; index construction; trapdoor construction