Isaiah J. King (The George Washington University)

Lateral movement is a key stage of system compromise used by advanced persistent threats, and detecting it is no simple task. But when network host logs are abstracted into discrete temporal graphs, the problem can be reframed as anomalous edge detection in an evolving network. We have implemented a formalized approach to this problem with a framework we call Euler. It consists of a model-agnostic graph neural network stacked upon a model-agnostic sequence encoding layer such as a recurrent neural network. In this talk, we will discuss the challenges we faced comparing Euler to other link prediction and anomaly detection models, and how we justified and qualified our conclusions about its effectiveness. We proposed a more precise terminology for temporal link prediction tasks to aid in reproducibility. Assertions about the relative quality of models are backed with inferential statistics, not just performance metrics, ensuring fair comparison. Finally, we discuss the value of various metrics and data sets for anomaly detection in general.

Speaker's biography

Isaiah J. King is a Ph.D. student at the George Washington University School of Engineering and Applied Sciences and an ARCS scholar. His research interests include unsupervised machine learning on graphs, and distributed machine learning, particularly as they apply to intrusion detection systems.

View More Papers

A Framework for Consistent and Repeatable Controller Area Network...

Paul Agbaje (University of Texas at Arlington), Afia Anjum (University of Texas at Arlington), Arkajyoti Mitra (University of Texas at Arlington), Gedare Bloom (University of Colorado Colorado Springs) and Habeeb Olufowobi (University of Texas at Arlington)

Read More

Hazard Integrated: Understanding Security Risks in App Extensions to...

Mingming Zha (Indiana University Bloomington), Jice Wang (National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences), Yuhong Nan (Sun Yat-sen University), Xiaofeng Wang (Indiana Unversity Bloomington), Yuqing Zhang (National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences), Zelin Yang (National Computer Network Intrusion Protection Center, University of Chinese Academy…

Read More

Effects of Knowledge and Experience on Privacy Decision-Making in...

Zekun Cai (Penn State University), Aiping Xiong (Penn State University)

Read More

On Building the Data-Oblivious Virtual Environment

Tushar Jois (Johns Hopkins University), Hyun Bin Lee, Christopher Fletcher, Carl A. Gunter (University of Illinois at Urbana-Champaign)

Read More