Data Science Driven Malware Detection

October 15, 2015
Malware detection within enterprise networks is a critical component of an effective information security strategy. Instances of malware attacks are increasing – making them especially important to detect – and data science can help. This presentation outlines data science driven approaches to finding domains that have time and user-based co-occurrence relationships. It also includes a demonstration of a scalable and operationalizable framework to detect domain associations by analyzing the web traffic of users in any organization. Additional information: http://www.datasciencecentral.com/video/dsc-webinar-series-data-science-driven-approaches-to-malware
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