"Researchers Eye 'Topological Signatures' of Cyber Threats"

Researchers at Pacific Northwest National Laboratory (PNNL) are developing a new method to exploring the higher-dimensional shape of cyber systems in order to identify adversarial attack signatures. The researchers tested their technique with a publicly accessible dataset used for the analysis of Advanced Persistent Threats (APTs). According to Emilie Purvine, a senior data scientist at PNNL, the method reveals patterns in the data that are aligned with adversary activity. Purvine noted that identifying and finding these more complex patterns can help cyber analysts pinpoint unusual behaviors in the network and determine why they are happening. This article continues to discuss the PNNL team's approach to exploring the higher-dimensional shape of cyber systems.

PNNL reports "Researchers Eye 'Topological Signatures' of Cyber Threats"