5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CR2024
Harnessing TI Feeds for Exploitation Detection
Kajal Patel, Zubair Shafiq, Mateus Nogueira +5
Many organizations rely on Threat Intelligence (TI) feeds to assess the risk associated with security threats. Due to the volume and heterogeneity of data, it is prohibitive to man…
cs.CR2020★ 5 cited
Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services
Vilc Rufino, Mateus Nogueira, Alberto Avritzer +7
Anomaly detection systems aim to detect and report attacks or unexpected behavior in networked systems. Previous work has shown that anomalies have an impact on system performance,…