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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