Information Assurance via Big Data Security Analytics
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International Journal of Computer & Organization Trends (IJCOT) | 
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| © 2015 by IJCOT Journal | ||
| Volume - 5 Issue - 2 |
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| Year of Publication : 2015 | ||
| Authors : Abhishek Gupta, Mahesh Pawar, Dr. Sachin Goyal, Ratish Agrawal |
Citation
Abhishek Gupta, Mahesh Pawar, Dr. Sachin Goyal, Ratish Agrawal"Information Assurance via Big Data Security Analytics", International Journal of Computer & organization Trends (IJCOT), V5(2):85-91 Mar - Apr 2015, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract The research presented in this paper represents the importance and leveraging factor of Big Data Security Analytics (BDSA) through models that will augment the predectiveness and possible mitigation of Advanced Persistent Threats (APT). Big Data Security Analytics is highly scalable & it can be achieved by breaking down the silos of data both structured and unstructured to find anomaly. Information security is evolving continuously so scalability is also becoming mandatory which can only be achieved by the integration of security intelligence platform and big data platform as described in the research paper. In order to cope up with APT’s, Big Data Security & Control Framework (BDSCF) is proposed and described in the paper which consist Define, Dissect & Defend of huge datasets. The Big Data Security Analytics techniques, challenges and possible outcomes are presented.
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Keywords
Advance Persistent Threat, Big Data, Big Data Security Analytics, Classifier, Security Intelligence.