15 citations
4 papers
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…
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…
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…
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…