Nate Mathews
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Crypto×1ML×1
Frequent co-authors
Research Timeline
2026
Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection
The paper introduces ESPRESSO, a deep learning model that significantly improves the detection of sophisticated stepping-stone intrusions by correlating network flows across multiple relay hosts.
Highlighted terms show continued research focus across papers