5 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums
Felipe Moreno-Vera, Mateus Nogueira, Cainã Figueiredo +6
This paper proposes a machine learning-based approach for detecting the exploitation of vulnerabilities in the wild by monitoring underground hacking forums. The increasing volume…
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,…