Data Science Driven Malware Detection
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
