International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 5, October 2017, pp. 2873~2882 ISSN: 2088-8708, DOI: 10.11591/ijece.v7i5.pp2873-2882  2873 Journal homepage: http://iaesjournal.com/online/index.php/IJECE Content an Insight to Security Paradigm for BigData on Cloud: Current Trend and Research Chhaya S Dule 1 , Girijamma H. A. 2 1 Dept.of CSE, RNSIT, Dept. of CSE, Jyothy Institute of Technology, Bangalore, Visvesvaraya Technological University (VTU), Belgaum, and Karnataka, India 2 Dept of CSE, RNS Institute of Technology Bangalore, India, Visvesvaraya Technological University (VTU), Belgaum, Karnataka India Article Info ABSTRACT Article history: Received Jan 7, 2017 Revised Jun 12, 2017 Accepted Sept 11, 2017 The sucesssive growth of collabrative applications producing Bigdata on timeline leads new opprutinity to setup commodities on cloud infrastructure. Mnay organizations will have demand of an efficient data storage mechanism and also the efficient data analysis. The Big Data (BD) also faces some of the security issues for the important data or information which is shared or transferred over the cloud. These issues include the tampering, losing control over the data, etc. This survey work offers some of the interesting, important aspects of big data including the high security and privacy issue. In this, the survey of existing research works for the preservation of privacy and security mechanism and also the existing tools for it are stated. The discussions for upcoming tools which are needed to be focused on performance improvement are discussed. With the survey analysis, a research gap is illustrated, and a future research idea is presented Keywords: Big data Cloud Privacy Security Tools Copyright © 2017 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Ms Chhaya S Dule, Research Scholar, Dept. of CSE, RNSIT, Asst. Prof, Dept. of CSE, Institute of Technology, Bangalore, Visvesvaraya Technological University (VTU), Belgaum, Karnataka, India Email: chhayaresearch15@gmail.com 1. INTRODUCTION The expanded technology in various areas has made interest towards the big data and has become a trending research subject offering various applications in different areas like social, climate, government, etc. The research topic big data falls under the category of big data with machine learning [1-2]. This top research scenario will not be completed without the networking, as the real-time applicability demands complex, huge data processing. Still, it is observed that the BD is mysteriously challenging research subject. In this still there is a need of addressing various problems under various scenarios and also better algorithms are needed to be developed to solve these ongoing issues. The major issues include privacy and security in data operation over the cloud under real time scenario. The collected data in BD are easily accessible when the heterogeneous data is transferred over the cloud. The confidential data which includes clinical data, research data, government data, and military data and when these data is transferred over the internet it can be accessed and malfunctioned by the intruders. The tools which are used or developed to handle the tremendous amount of data are successful in handling but fail to maintain or preserve the security & privacy [3]. The existing tools are falls below the security protection zone which come for large scale of data [1-2], [4]. The expose of the tremendous amount of data in BD leads a better analytical response but will fail to offer better security that means will give more security issues. The exposed data can be very useful for the hacker & owner prospective, and the hacker can change it accordingly as per his needs. Hence there is a need