‘BinaryPig’ Uses Hadoop To Sniff Out Patterns In Malware
A Posting from Dark Reading in there Threat Intelligence section:
As the menagerie of malware collected by security firms continues to multiply, researchers are looking for new ways to analyze the massive data sets to find interesting information in their malware zoos.
At the Black Hat Security Briefings in late July, one trio of researchers plans to release a framework for using Hadoop and the Apache Pig platform for parallelization that makes analyzing large sets of malware programs easier. The three researchers–Zachary Hanif, Telvis Calhoun and Jason Trost of Endgame Systems–developed the framework, dubbed BinaryPig, while trying to analyze a quickly growing collection of millions of malware samples collected by the company over the past three years.
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