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Mining of Encrypted Data over Cloud Data

Author : Aashish Arjun Bugalia, Abhishek Kumar Mishra, Preeti Naresh Ajwani, Karan Shah Arora and Shalini V. Wankhede

Pages : 3681-3684
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Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for greater convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword based document retrieval. For searching the encrypted data has to be decrypted first and then searched, which consumes too much time and resources. So we need an idea of searching over the encrypted data without decrypting it thus enhancing the process of searching. This is achieved by extracting data features while uploading the file into cloud and then conducting search on these features of data to get the relevant files. We are using a bucket data structure to store these data features. The AES encryption scheme is used to encrypt the index and query. We ensure accurate relevance score calculation between encrypted index and query vectors through Pearson’s correlation.

Keywords: Cloud Computing, Web Server, Client/ server, Distributed Database, Distributed Networks, Encryption.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.6 (Dec-2015)


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