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 cs.CRShow all

4 papers · 1 filter

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…

cs.CR2020

Using Side Channel Information and Artificial Intelligence for Malware Detection

Paul Maxwell, David Niblick, Daniel C. Ruiz

Cybersecurity continues to be a difficult issue for society especially as the number of networked systems grows. Techniques to protect these systems range from rules-based to artif…