18 citations · 23 across the 4 of their papers we have counts for
6 papers · 1 filter
Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks
Jurijs Nazarovs, Jack W. Stokes, Melissa Turcotte +2
Ransomware attacks are increasing at an alarming rate, leading to large financial losses, unrecoverable encrypted data, data leakage, and privacy concerns. The prompt detection of…
URLTran: Improving Phishing URL Detection Using Transformers
Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo +3
Browsers often include security features to detect phishing web pages. In the past, some browsers evaluated an unknown URL for inclusion in a list of known phishing pages. However,…
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance
Jack W. Stokes, Paul England, Kevin Kane
Recent research has successfully demonstrated new types of data poisoning attacks. To address this problem, some researchers have proposed both offline and online data poisoning de…
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald +1
Malicious scripts are an important computer infection threat vector in the wild. For web-scale processing, static analysis offers substantial computing efficiencies. We propose the…
Neural Classification of Malicious Scripts: A study with JavaScript and VBScript
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald
Malicious scripts are an important computer infection threat vector. Our analysis reveals that the two most prevalent types of malicious scripts include JavaScript and VBScript. Th…
Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models
Jack W. Stokes, De Wang, Mady Marinescu +2
Recently researchers have proposed using deep learning-based systems for malware detection. Unfortunately, all deep learning classification systems are vulnerable to adversarial at…