2 papers
cs.CR2024
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs
Philipp Gysel, Candid Wüest, Kenneth Nwafor +3
Securing endpoints is challenging due to the evolving nature of threats and attacks. With endpoint logging systems becoming mature, provenance-graph representations enable the crea…
cs.NI2023
ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
Binghui Wu, Philipp Gysel, Dinil Mon Divakaran +1
Recent research works have proposed machine learning models for classifying IoT devices connected to a network. However, there is still a practical challenge of not having all devi…