Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction

Full text for this resource is not available from the Research Repository.

Yin, Jiao ORCID: 0000-0002-0269-2624, Chen, Guihong ORCID: 0000-0002-0760-7011, Hong, Wei ORCID: 0000-0003-2833-9228, Wang, Hua ORCID: 0000-0002-8465-0996, Cao, Jinli ORCID: 0000-0002-0221-6361 and Miao, Yuan ORCID: 0000-0002-6712-3465 (2023) Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction. In: International Conference on Web Information Systems Engineering: WISE 2023, 25-27 Oct 2023, Melbourne, Australia.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/47590
DOI 10.1007/978-981-99-7254-8_23
Official URL https://link.springer.com/chapter/10.1007/978-981-...
ISBN 9789819972531
Subjects Current > FOR (2020) Classification > 4604 Cybersecurity and privacy
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords software vulnerabilities; vulnerability exploitability prediction; topological feature concatenation; ode embedding; heterogeneous graph neural networks; HGNN
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login