Early Enterprise Attack Detection and Target Identification
Large enterprises deploy many devices such as routers switches and servers in a secure layered architecture. The compute infrastructures are well protected behind multiple boundaries along with client level security in a defense depth architecture. When cyber-attacks are identified operators identify the extent of the adversary’s progression in the enterprise infrastructure to effectively combat the adversaries without losing ground. Currently operators spend a lot of time identifying the attack and locating the threat before remediating it. Automated early attack detection is the key for stopping adversaries before losing the assets. For my superUROP project I intend to deploy an integrated and scalable algorithm for successfully detecting and locating attacks early.

My name is Rosemond (Ros) Dorleans and I will be a course 6 senior in the Fall of 2016. My project involves creating a scalable and comprehensive early attack detection algorithm to be used by the MITRE corporation. I have taken classes in algorithms machine learning as well as dabbled a bit in cybersecurity. I hope to learn more and gain an appreciation for cybersecurity as I go further into my research.