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Addressing Cyber threats using Big Data

Malware and cyber-attacks have become increasing concerns among companies. Many of them struggle to predict and mitigate threats, which can spring and evolve quickly. Companies also have some concerns about the physical security of their infrastructure. The result is that they are in search of more comprehensive resources to address these challenges. Big data analytics, particularly when they are coupled with machine learning, represent a logical solution because it allows companies to consider multiple threat scenarios and determine the best response. 

In today’s complex network environments, Advanced Persistent Threats (APTs) and other cyber threats eradication may be accomplished by getting intelligence from data providers. 

For these cyber threats, appliances should be monitoring threat feeds from trusted providers for indicators of compromise (IOCs), including big data feeds like domain name systems (DNS) feeds, command and control (C2) feeds, and black/white lists, in order to correlate and hunt threats in a data set and recommends six steps to combat the potential threats.

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