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  Published Paper Details:

  Paper Title

SECURITY ANALYTICS: BIG DATA ANALYTICS FOR CYBERSECURITY

  Authors

  N Rajshekhar Rao,  Mr Rahul Chawda,  Pawan Kumar Pandey

  Keywords

cybersecurity; big data analytics; security analytics; survey; real-time; suspicion; fraud; outliers; network streams

  Abstract


The rapid growth of the Internet has brought with it an exponential increase in the type and frequency of cyber attacks. Many well-known cybersecurity solutions are in place to counteract these attacks. However, the generation of Big Data over computer networks is rapidly rendering these traditional solutions obsolete. To cater for this problem, corporate research is now focusing on Security Analytics, i.e., the application of Big Data Analytics techniques to cybersecurity. Analytics can assist network managers particularly in the monitoring and surveillance of real-time network streams and real-time detection of both malicious and suspicious (outlying) patterns. Such a behavior is envisioned to encompass and enhance all traditional security techniques. This paper presents a comprehensive survey on the state of the art of Security Analytics, i.e., its description, technology, trends, and tools. It hence aims to convince the reader of the imminent application of analytics as an unparalleled cybersecurity solution in the near future.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1802412

  Paper ID - 181947

  Page Number(s) - 579-584

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  N Rajshekhar Rao,  Mr Rahul Chawda,  Pawan Kumar Pandey,   "SECURITY ANALYTICS: BIG DATA ANALYTICS FOR CYBERSECURITY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.579-584, February 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802412.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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