Recognition of Encrypted Data on Cloud

Dayanand G Savakar, Ravi Hosur

Abstract: The work introduces to classify the encrypted data which are outsourced to the cloud. Nowadays cloud computing is growing in popularity with most of the companies are moving towards it because of its interesting characteristics. It is a network which stores large data, manages and processes, and provides the security to it by storing in an encrypted form, so as to protect sensitive information of the users. But classifying the data which is in encrypted form is a complex procedure. So, we have proposed privacy preserving k-nearest neighbor algorithm to maintain the privacy of the data even after classifying it. This algorithm will give the accurate data mining results. Thus, the system tends to provide efficient functionalities and promises to have security guarantees to the data incorporated into cloud.

Keywords: Network, Cloud, Security, k-NN algorithm, classification