Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Gayan Kulatilleke"'
In this paper, we propose XG-BoT, an explainable deep graph neural network model for botnet node detection. The proposed model comprises a botnet detector and an explainer for automatic forensics. The XG-BoT detector can effectively detect malicious
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8727c190672ebf2c1716e55eaffcebcd
Autor:
Adrian Cherney, Anita Matthews, Paul M. Salmon, Dennis Desmond, David Lacey, Neville A. Stanton, Gayan Kulatilleke, Ben R. Lane
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63:458-462
The trading of illicit goods in dark net marketplaces is a significant and growing global problem. This paper describes the findings from a study which involved the use of Work Domain Analysis in conjunction with a node breaking process to identify i
Autor:
Lane, Ben, Salmon, Paul, Desmond, Dennis, Adrian Cherney, Gayan Kulatilleke, Stanton, Neville
Publikováno v:
Scopus-Elsevier
University of Queensland
University of Queensland
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::20ee825751803fb99fb55cb139ee2d1c
http://www.scopus.com/inward/record.url?eid=2-s2.0-85080055705&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85080055705&partnerID=MN8TOARS