Graph intelligence enhanced bi-channel insider threat detection
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Hong, Wei 
ORCID: https://orcid.org/0000-0003-2833-9228, Yin, Jiao ORCID: https://orcid.org/0000-0002-0269-2624, You, Mingshan ORCID: https://orcid.org/0000-0003-0958-528X, Wang, Hua ORCID: https://orcid.org/0000-0002-8465-0996, Cao, Jinli ORCID: https://orcid.org/0000-0002-0221-6361, Li, Jianxin ORCID: https://orcid.org/0000-0002-9059-330X and Liu, Ming ORCID: https://orcid.org/0000-0002-2160-6111
(2022)
Graph intelligence enhanced bi-channel insider threat detection.
In: 16th International Conference on Network and System Security (NSS) 2022, 9 - 12 Dec 2022, Fiji.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/46789 |
| DOI | 10.1007/978-3-031-23020-2_5 |
| Official URL | https://link.springer.com/chapter/10.1007/978-3-03... |
| ISBN | 9783031230196 |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | user behavior, insider intrusion, outsider intrusion, security, graph intelligence |
| Download/View statistics | View download statistics for this item |
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