Conference Proceedings

Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning

Published: June 29, 2020

Author(s)

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)

Conference

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

Abstract

Keywords

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

None selected

Documentation

Publication:
Conference Proceedings (DOI)

Supplemental Material:
Preprint (pdf)

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

Topics

Security and Privacy
advanced persistent threat; security measurement

Technologies
artificial intelligence