Malware detection

DART: Detecting Unseen Malware Variants using Adaptation Regularization Transfer Learning

Network traffic analysis has been widely used for detecting malware at a large-scale network. Nevertheless, the emerging malware variants and zero-day exploits keep posing significant challenges to malware detection systems. In this paper, we propose …

MalAlert: Detecting Malware in Large-Scale Network Traffic Using Statistical Features

In recent years, we witness the spreading of a significant variety of malware, which operate and propagate relying on network communications. Due to the staggering growth of traffic in the last years, detecting malicious software has become …

Lexical Mining of Malicious URLs for Classifying Android Malware

The prevalence of mobile malware has become a growing is-sue given the tight integration of mobile systems with our daily life. Mostmalware programs use URLs inside network traffic to forward commandsto launch malicious activities. Therefore, the …