Indian Journal of Science and Technology

Abstract

Objectives: The aim of this paper is to handlehuge dataset in a cloud with privacy and security. Due to rapid growth in the multiuser communication on the cloud infrastructure, the reliability of the data sets is growing rapidly. Methods/Statistical Analysis: We proposed three planning mechanism in this paper, they are anonymity, multiple receiver and conditional sharing. Using anonymity can hide the sender and receiver information details. In multiple receiver, by giving category the receiver can access the sender data before that admin check the condition to share the data. If the authorized receiver means the admin can allow the receiver to access the data. In this paper, we used Data Encryption Standard (DES) and Message Digest (MD5) algorithm for encrypting the data and also used Advanced Encryption Standard (AES) for Re-encrypt the data for high security. Findings: By implementing the above algorithms the data from Hadoop Data File System (HDFS) can be retrieved faster and hence, the time required for the proposed system to fetch the data is reduced compared to the existing system. Application/Improvements: The proposed system has been tested only for small dataset and can be used to analyze large datasets. The proposed system can be used to many real-world applications, such as secure email ­forwarding, electronic encrypted data sharing, where both anonymity and flexible encrypted data sharing are needed.
Keywords: Big Data, Cloud, Encryption, Hadoop, Privacy Preservation