152 citations · 236 across the 10 of their papers we have counts for
3 papers · 1 filter
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
Aaron Tuor, Ryan Baerwolf, Nicolas Knowles +3
Automated analysis methods are crucial aids for monitoring and defending a network to protect the sensitive or confidential data it hosts. This work introduces a flexible, powerful…
Faster Fuzzing: Reinitialization with Deep Neural Models
Nicole Nichols, Mark Raugas, Robert Jasper +1
We improve the performance of the American Fuzzy Lop (AFL) fuzz testing framework by using Generative Adversarial Network (GAN) models to reinitialize the system with novel seed fi…
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams
Aaron Tuor, Samuel Kaplan, Brian Hutchinson +2
Analysis of an organization's computer network activity is a key component of early detection and mitigation of insider threat, a growing concern for many organizations. Raw system…