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Published on October 15th, 2015 📆 | 6551 Views ⚑

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Data Science Driven Approaches to Malware Detection — Vorhies, Kondaveeti

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http://www.slideshare.net/Pivotal/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. In this webinar, one of Pivotal's principal data scientists discusses data science driven approaches to finding domains that have time and user-based co-occurrence relationships. The session 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

Speaker: Bill Vorhies, Data Science Central; Anirudh Kondaveeti, Pivotal


2015-10-15 15:30:37

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Tagged with: approaches • detection • driven • kondaveeti • malware • science • vorhies