IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

A Critical Analysis on the Use of Big Data Analytics for Cybersecurity

Main Article Content

Vineet Saxena

Abstract

With thousands of connected devices, the the Internet of Things era has increased the surface area that hackers might exploit, necessitating the need for swift and precise attack detection. Cyberattack sorts and incidence have exponentially increased as a result of the Internet's fast expansion. There are several well-known cybersecurity systems in place to thwart these assaults. The production of Big Data across computer systems, meanwhile, is quickly making these conventional techniques obsolete. To address this issue, corporate research is currently concentrating on Security Analytics, or the use of Big Data Analytics methods for cybersecurity. Analytics may help network administrators, especially, with the surveillance and monitoring of live system streams and the real-time identification of malicious and abnormal (outlier) trends. All conventional security measures are intended to be covered and improved by such behaviour.

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