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Conference Paper

Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning

Published: June 29, 2020


Gbadebo Ayoade (University of Texas at Dallas), Khandakar Akbar (University of Texas at Dallas), Pracheta Sahoo (University of Texas at Dallas), Yang Gao (University of Texas at Dallas), Anmol Agarwal (University of Texas at Dallas), Kangkook Jee (University of Texas at Dallas), Latifur Khan (University of Texas at Dallas), Anoop Singhal (NIST)


Name: 2020 IEEE Conference on Communications and Network Security (CNS)
Dates: 06/29/2020 - 07/01/2020
Location: [Virtual] Avignon, France
Citation: 2020 IEEE Conference on Communications and Network Security (CNS), pp. 1-9



feature extraction; machine learning; measurement; tools; Trojan horses; conferences; security
Control Families

None selected



Supplemental Material:
Preprint (pdf)

Document History:
06/29/20: Conference Paper (Final)