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Abstract: Artificial Intelligence (AI) has made tremendous progress in anomaly detection. However, AI models work as a black-box, making it challenging to provide reasoning behind their judgments in a ...
Abstract: Log analysis is challenging due to the unstructured nature of $\log$ messages. Most prior methods are limited to specific $\log$ formats and require substantial labeled data. Recent natural ...
When signing in to Windows, a password is the default option. But remembering a strong and complex password can be a hassle. Instead, you can try biometric technologies supported through the Windows ...
This project focused on self-supervised sequence modeling as a tool for performing anomaly detection in network authentication logs. Building on existing work on this topic (Tuor et al., Brown et al.) ...