Knowledge-driven cybersecurity intelligence: software vulnerability co-exploitation behaviour discovery

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Yin, Jiao ORCID: 0000-0002-0269-2624, Tang, MJ, Cao, Jinli ORCID: 0000-0002-0221-6361, You, Mingshan ORCID: 0000-0003-0958-528X, Wang, Hua ORCID: 0000-0002-8465-0996 and Alazab, Mamoun ORCID: 0000-0002-1928-3704 (2022) Knowledge-driven cybersecurity intelligence: software vulnerability co-exploitation behaviour discovery. IEEE Transactions on Industrial Informatics. pp. 1-9. ISSN 1551-3203

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/44498
DOI https://doi.org/10.1109/TII.2022.3192027
Official URL https://ieeexplore.ieee.org/document/9832800
Subjects Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > FOR (2020) Classification > 4604 Cybersecurity and privacy
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords cyber security, software vulnerability, Modality-Aware Graph Convolutional Network, MAGCN, Graph Knowledge Transfer Learning, GKTL
Citations in Scopus 3 - View on Scopus
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