output
20192022
most citedA Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System

15 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2022 · cs.CRShow all

3 papers · 2 filters

cs.CR2022★ 3 cited

Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis

Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt +2

Fuzz testing is often automated, but also frequently augmented by experts who insert themselves into the workflow in a greedy search for bugs. In this paper, we propose Homo in Mac…

cs.CR2022★ 15 cited

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System

Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey +1

Network intrusion detection systems (NIDS) to detect malicious attacks continue to meet challenges. NIDS are often developed offline while they face auto-generated port scan infilt…

cs.CR2022★ 5 cited

Black-box Attacks Against Neural Binary Function Detection

Joshua Bundt, Michael Davinroy, Ioannis Agadakos +2

Binary analyses based on deep neural networks (DNNs), or neural binary analyses (NBAs), have become a hotly researched topic in recent years. DNNs have been wildly successful at pu…