alexa Abstract | Big Data Analytics Security Issues in Data Driven Information System
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article Open Access

Abstract

Enterprises routinely collect terabytes of security-relevant 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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Author(s): M. Chithik Raja, Munir Ahmed Rabbani

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