Timeseries XAI in Cybersecurity and Industry
| Title | Timeseries XAI in Cybersecurity and Industry |
|---|---|
| Summary | Cybersecurity data analysis with XAI |
| Keywords | Cybersecurity, XAI, timeseriesProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user. |
| TimeFrame | Spring 2026 |
| References | https://www.sciencedirect.com/science/article/pii/S1566253523001148 |
| Prerequisites | |
| Author | |
| Supervisor | Grzegorz J. Nalepa, Prayag Tawari, Aurora Esteban |
| Level | Master |
| Status | Open |
Cybersecurity systems have clearly became a very important area of AI applications recently.
From the engineering perspective they produce a large amount of data that can only be analyzed by AI methods.
Thus in this thesis we would like to consider AI-based timeseries analysis with applications and data from cybersecurity systems.
Some of the general questions are
1) what makes this specific domain distinct wrt to data and its characteristics? e.g. rapid changes, anomalies, drifts, data imbalance?
2) what types of explanations could be most useful for cybersec experts, e.g. counterfactuals, prototypes
It is encouraged that this thesis will result in scientific publications possibly also developed in collaboration with external stakeholders.
