Risk in Cybersecurity

Monday, December 8, 2014
11:30 AM - 1:00 PM
(Pacific)

Encina Hall (2nd Floor)

Speaker: 

Abstract: Organizations face a range of cyber threats including spammers, lone hackers, and advanced nation states. Significant uncertainty surrounds how to best secure organizations, and the relative value of different safeguards such as intrusion detection, two-factor authentication, and full disk encryption is unknown. In this talk, I will summarize results from a data analysis performed on a data set from a Research and Development Center and present stochastic models to assess risk in organizations. 

About the Speaker: Marshall is a predoctoral science fellow at CISAC. He is a PhD candidate in Management Science and Engineering at Stanford University, concentrating in Risk Analysis. Marshall studies quantitative models for cyber security in organizations. He is interested in developing probabilistic modeling techniques to improve decision making regarding defense against cyber threats. 

Marshall has a diverse background spanning many fields, that includes modeling cyber security for the Jet Propulsion Lab, developing trading algorithms with a high frequency trading company, researching superconducting materials at UIUC, and modeling economic and healthcare systems with the Complex Adaptive Systems of Systems (CASoS) engineering group at Sandia National Labs. Marshall is also the Co-President of the Stanford Complexity Group.
 
Marshall holds a B.S. in Engineering Physics from the University of Illinois at Urbana-Champaign.