A graph empowered insider threat detection framework based on daily activities
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Hong, Wei ORCID: 0000-0003-2833-9228, Yin, Jiao
ORCID: 0000-0002-0269-2624, You, Mingshan
ORCID: 0000-0003-0958-528X, Wang, Hua
ORCID: 0000-0002-8465-0996, Cao, Jinli
ORCID: 0000-0002-0221-6361, Li, Jianxin
ORCID: 0000-0002-9059-330X, Liu, Ming
ORCID: 0000-0002-2160-6111 and Man, Chengyuan
(2023)
A graph empowered insider threat detection framework based on daily activities.
ISA Transactions, 141.
pp. 84-92.
ISSN 0019-0578
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/47944 |
DOI | 10.1016/j.isatra.2023.06.030 |
Official URL | https://www.sciencedirect.com/science/article/pii/... |
Subjects | Current > FOR (2020) Classification > 4604 Cybersecurity and privacy Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | sequential activity; graph neural networks; insider threat; LSTM auto-encoder |
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