| Original language | English |
|---|---|
| Number of pages | 11 |
| Journal | arXiv preprint arXiv:1008.4669 |
| Publication status | Published - 02 Apr 2023 |
OutCenTR: A novel semi-supervised framework for predicting exploits of vulnerabilities in high-dimensional datasets
Hadi Eskandari, Michael Bewong, Sabih Rehman
- Data Science Research Unit
- DaMRG - Data Mining Research Group
- Cyber Security Research Group (CSRG)
- Imaging and Sensing Research Group
- Advanced Network Research Group (ANRG)
- Health Services Research Group
- Computing, Mathematics and Engineering
- Home Affairs, Policing and Security Science (HAPSS) Research Group
Research output: Contribution to journal › Review article