Innovation in IT
Year : 2016, Volume : 3, Issue : 1
First page : ( 11) Last page : ( 16)
Print ISSN : 2395-1192. Online ISSN : 2394-8205.

Big Data Analytics: Big Security Issues

Prof. Parmar Geetika

Asst. Prof. MITSOM College, Pune

Online published on 22 January, 2018.

Abstract

Enterprises routinely collect terabytes of securityrelevant data (for instance, network events, software application events, and people's action events) for regulatory compliance and post hoc forensic analysis. Large enterprises generate an estimated 10 to 100 billion events per day, depending on size. These numbers will only grow as enterprises enable event logging in more sources, hire more employees, deploy more devices, and run more software. Unfortunately, this volume and variety of data quickly become overwhelming. Existing analytical techniques don't work well at large scales and typically produce so many false positives that their efficacy is undermined. The problem becomes worse as enterprises move to cloud architectures and collect much more data.

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