61 citations · 122 across the 6 of their papers we have counts for
6 papers
PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes
Tianhao Wang, Simon Klancher, Kunal Mukherjee +4
The rise of graph-structured data has driven interest in graph learning and synthetic data generation. While successful in text and image domains, synthetic graph generation remain…
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang +4
Advanced cyber threats (e.g., Fileless Malware and Advanced Persistent Threat (APT)) have driven the adoption of provenance-based security solutions. These solutions employ Machine…
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection
Peng Gao, Xusheng Xiao, Ding Li +4
The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each enterprise host, and perform timely ab…
A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security
Peng Gao, Xusheng Xiao, Zhichun Li +4
The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each enterprise host, and perform timely at…
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection
Peng Gao, Xusheng Xiao, Ding Li +6
Recently, advanced cyber attacks, which consist of a sequence of steps that involve many vulnerabilities and hosts, compromise the security of many well-protected businesses. This…
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data
Peng Gao, Xusheng Xiao, Zhichun Li +4
The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each host, and perform timely attack invest…