1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CR2023★ 1 cited
A Feature Set of Small Size for the PDF Malware Detection
Ran Liu, Charles Nicholas
Machine learning (ML)-based malware detection systems are becoming increasingly important as malware threats increase and get more sophisticated. PDF files are often used as vector…
cs.LG2023
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?
Ran Liu, Maksim Eren, Charles Nicholas
With the increasing number and sophistication of malware attacks, malware detection systems based on machine learning (ML) grow in importance. At the same time, many popular ML mod…
cs.CR2023
IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models
Ran Liu, Charles Nicholas
The popularity of dynamic malware analysis has grown significantly, as it enables analysts to observe the behavior of executing samples, thereby enhancing malware detection and cla…