Enhanced Cyber Security for Big Data Challenges
S. Padmapriya1, N. Partheeban2, N. Kamal3, A. Suresh4, S. Arun5
1S. Padmapriya, Professor, Prathyusha Engineering College Chennai.
2N. Partheeban, Associate Professor, Vel Tech Rangarajan Dr. Sagunthala M R&D Institute of Science and Technology Avadi. Chennai.
3N. Kamal, Professor, GRT Institute of Engineering and Technology Tiruttani.
4A. Suresh, Assistant Professor, Siddharth Institute of Engineering & Technology, Puttur, A.P.
5S. Arun, Professor, Prathyusha Engineering College Chennai
Manuscript received on 05 August 2019 | Revised Manuscript received on 09 August 2019 | Manuscript published on 30 August 2019 | PP: 3478-3481 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97290881019/19©BEIESP | DOI: 10.35940/ijitee.J9729.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In recent years mining of data from social media is attracting more attention due to the explosion in the growth of Big Data. In security, Big Data deals with collection of huge digital information for analyzing, visualizing and to draw the insights for the prediction & prevention of cyber attacks. The Big Data mined about an enterprise from the data cloud, if properly analyzed reveals the private information which is highly risky. Maintaining the privacy of users of social media is the major challenge with respect to the security issues. As the data is generally stored in a data cloud, a boundary of trust must be established between the social media users and the data bank owners. Hence there is requirement of developing an efficient protocol for sharing of data. To secure the sensitive information of the user, data mining can be used along with an effective algorithm. This paper proposes the technique of code inline parsing to make the data more secure from the attacks & cyber hacks along with the SQL injections such that the data on the social media is secured. The proposed method secures the platform of Big Data which protects the user’s sensitive information.
Keywords: Big Data, Privacy, Information Security, Social Media.
Scope of the Article: Big Data