2 papers
cs.CR2026
An End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat Interpretation
Kushankur Ghosh, Mehar Klair, Kian Kyars +2
Provenance graphs model causal system-level interactions from logs, enabling anomaly detectors to learn normal behavior and detect deviations as attacks. However, existing approach…
cs.LG2024
Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles
Kushankur Ghosh, Murilo Coelho Naldi, Jörg Sander +1
In machine learning and data mining, outliers are data points that significantly differ from the dataset and often introduce irrelevant information that can induce bias in its stat…