Advanced Persistent Threat Predictive Analytics
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  • Release Date: 2023-12-27
  • 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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Liu, H.; Jiang, R. Advanced Persistent Threat Predictive Analytics. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/1025 (accessed on 14 June 2024).
Liu H, Jiang R. Advanced Persistent Threat Predictive Analytics. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/1025. Accessed June 14, 2024.
Liu, Haitian, Rong Jiang. "Advanced Persistent Threat Predictive Analytics" Encyclopedia, https://encyclopedia.pub/video/video_detail/1025 (accessed June 14, 2024).
Liu, H., & Jiang, R. (2023, December 27). Advanced Persistent Threat Predictive Analytics. In Encyclopedia. https://encyclopedia.pub/video/video_detail/1025
Liu, Haitian and Rong Jiang. "Advanced Persistent Threat Predictive Analytics." Encyclopedia. Web. 27 December, 2023.
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