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Advanced Persistent Threat Predictive Analytics
- Subjects: Computer Science, Information Systems
- |
- Contributors:
- Haitian Liu ,
- Rong Jiang
- APT
- causal graph
- evolving graph
- neighborhood graph
- deep learning
- prediction
Video Introduction
This video is adapted from 10.3390/electronics12081849
Complex multi-stage cyberattacks have become more common, for which audit log data are a good source of information for online monitoring. However, predicting cyber threat events based on audit logs remains an open research problem. This video explores advanced persistent threat (APT) audit log information and uses a combination of causal graphs and deep learning techniques to perform a predictive analysis of APT.
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Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Liu, H.; Jiang, R. Advanced Persistent Threat Predictive Analytics. Encyclopedia. Available online: https://encyclopedia.pub/video/1025 (accessed on 20 May 2026).
Liu H, Jiang R. Advanced Persistent Threat Predictive Analytics. Encyclopedia. Available at: https://encyclopedia.pub/video/1025. Accessed May 20, 2026.
Liu, Haitian, Rong Jiang. "Advanced Persistent Threat Predictive Analytics" Encyclopedia, https://encyclopedia.pub/video/1025 (accessed May 20, 2026).
Liu, H., & Jiang, R. (2023, December 27). Advanced Persistent Threat Predictive Analytics. In Encyclopedia. https://encyclopedia.pub/video/1025
Liu, Haitian and Rong Jiang. "Advanced Persistent Threat Predictive Analytics." Encyclopedia. Web. 27 December, 2023.
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