IJMTES – PRIVACY PRESERVING SENSITIVE PATTERN MINING IN CLOUD DATABASES

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : T.Sujitha, V.Saravanakumar

Volume 01 Issue o5  Year 2014  

ISSN no:  2348-3121

Page no: 162-168

Abstract—Data Mining is employed for extracting probably helpful info from information. The mixing of information mining techniques into traditional day-after-day activities has become common place. Data mining techniques and applications are much required within the cloud computing paradigm. The implementation of mining techniques through cloud computing can enable the users to retrieve significant information from just about integrated data warehouse that reduces the prices of infrastructure and storage. The association rule mining is one methodology to mining those cloud knowledge, and it’s used to realize the link among these knowledge. Enterprises typically store knowledge in internal storage and install firewalls to safeguard against inducers to access the info by exploitation two completely different algorithms. Privacy preserving Sensitive Pattern Mining is employed to secure the info gift within the cloud databases. The cloud information is responsible for storage, encryption and decryption of information. During this proposal, the cloud data encryption turning into additional necessary as a result of keeping cloud data safe from hackers. A database accessible to client from the cloud and delivered to users on demand via the net from a cloud information provider’s server. Then analyze the encryption and decryption for sensitive pattern mining by using two completely different algorithms in cloud information that makes effective knowledge utilization.

KeywordsAssociation rule mining, Cloud Computing, Cloud database, data mining, encryption and decryption, Privacy preserving.

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