COMPUTATIONAL RESEARCH AND APPLICATIONS SEMINAR – Representation of Cyber Knowledge as Discrete Sequences – Richardson

When:
October 23, 2017 @ 4:30 pm – 5:45 pm
2017-10-23T16:30:00-04:00
2017-10-23T17:45:00-04:00
Where:
Exploratory Hall, Room 3301, Fairfax Campus
Cost:
Free
Contact:
Joseph Marr
703-993-5017

COMPUTATIONAL RESEARCH AND APPLICATIONS SEMINAR

Bartley Richardson, PhD
Sotera Defense Solutions

Representation of Cyber Knowledge as Discrete Sequences

Monday, October  23, 4:30-5:45
Exploratory Hall, Room 3301

 

Abstract: As devices continue to gain network connectivity and require less interactivity from human operators, the nature of network transmissions is shifting and data is being created faster and with more fidelity than ever before. One way to view this data is in the context of a cyber language, analogous but semantically/syntactically different than a natural language. After sequences are constructed over a large dataset (PB), unsupervised machine learning and deep learning techniques are used to model communication, identifying typical behavior and flagging unlikely events. This seminar presents context for the foundations of this new approach to cyber anomaly detection as well as the enabling analytic techniques.

Dr. Richardson has nearly a decade of experience in Data Science, Cloud Computing, Software Development, and Machine Learning. He has served as both Department Chair and Visiting Professor at two universities and has published over 10 articles. He is currently serving as a principal data scientist, technical lead, and principal investigator on multiple government sponsored projects, including one DARPA research program.

(RICHARDSON) 20171023_CyberLanguageGMU_v2