Scalable Near-Real-Time Identification and Characterization of Malware Behaviors Using Darknet Data

Researcher
John Yen
Benjamin Hanrahan
Vasant Honavar
Peng Liu
James Wang

Sponsoring Agency
Arizona State University

Summary

The goal of this research project is to enhance the identification and characterization of malware behaviors from Darknet data using near-real-time clustering with parallel computing and optimization, together with graph kernel-based clustering methods and machine learning.

Research Area
Privacy and Security

Term
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