Machine learning and AI for cybersecurity: a technical chat with DISA

Thu, 27 Sep 2018 12:49:08 -0400
ai, computer-engineering, computer-science, cybersecurity, data-science, machine-learning

The UMBC Cyber Defense Lab

Machine Learning and Artificial Intelligence: A Technical Chat with the Defense Information Systems Agency

James Curry
Lead Engineer–DoD Cyber Security Range
Defense Information Systems Agency (DISA)

12:00–1:00pm Friday, 28 September 2018, ITE 227, UMBC

A broad reaching brief on the scope and scale of the DISA Mission, followed by a dive into DISA’s efforts to develop Machine Learning and Artificial Intelligence to help defend the nation’s cyber infrastructure. Attendees are highly encouraged to ask questions.

James Curry is the Lead Engineer of the DoD Cyber Security Range (CSR). The CSR’s mission is to replicate the DoD Information Network (DODIN) environment at lab scale, while maintaining high-fidelity realism. As Lead Engineer, Mr. Curry led the design, acquisition, and implementation of two first-of-its-kind technologies: a Virtual Internet Access Point (vIAP) and a Virtual Joint Regional Security Stack (vJRSS). These technologies enable the DoD Workforce to train in an IaaS-on-demand environment that realistically matches DISA’s core infrastructure. Mr. Curry is a Scholarship for Service (SFS) recipient (2008-2009) and received his masters and bachelors of science in computer science from New Mexico Tech. Email: *protected email*

Host: Alan T. Sherman, *protected email*

The UMBC Cyber Defense Lab meets biweekly Fridays. All meetings are open to the public. Upcoming meetings for Fall 2018 include the following.

Oct 12 Enis Golaszewski, The 2018 UMBC SFS study

Oct 26 Enis Golaszewski, Using tools in the formal analysis of cryptographic protocols

Nov 9 Razvan Mintesu, Legal aspects privacy

Dec 7 Tim Finin, A knowledge graph for cyber threat intelligence