Subject: UMD Cybersecurity Club Guest Speaker

Description:
[FedCentric] Insider Threats: A Case Study in Data Science -

Insider threats present one of the greatest challenges in the cyber security
community today. As evidenced
by the recent headlines, an organization needs to be aware of threats
existing within its own ranks. Either
through neglect or intentional actions, a person can cause significant damage
in theft, destruction, or
espionage of critical information. Unlike red teaming or penetration
exercises, catching insiders commonly
boils down to an exercise in data science to sift through the volumes of log
files. When working at a large
organization, these datasets become too unwieldy to tackle through normal
analytical methods. At
FedCentric Technologies, we have address this problem by leveraging scale-up
SGI UV platforms to
perform rapid analysis on the problems, and identify/rank potential threats
within minutes. In our
presentation, we will discuss our research on insider threats, the
technologies we employ, and why cyber
security experts care about data science.

Pizza and soda will be provided!

Event Date: November 2, 2016
Event Start Time: 7:00 pm
Event End Time: 9:00 pm
Event Location: AV Williams 2460
Contact Person: Michael Reininger
Contact Email: [log in to unmask]
Website URL: http://csec.umd.edu