3 papers
cs.CR2026
SAGEGAN: Style-Based Anomaly Detection with Gaussian Embeddings using Generative Adversarial Networks
Thesath Wijayasiri, Kar Wai Fok, Vrizlynn L. L. Thing
Malware evolves faster than rule-based and signature-driven detection pipelines. This paper presents SAGEGAN, a benign-only trained malware anomaly detection framework that convert…
cs.CR2026
HilEnT: Hilbert, Entropy Transformed Image Based Malware Detection
Rahul Kale, Thesath Wijayasiri, Kar Wai Fok +1
With the increasing threat of malware across various software related domains, malware detection and classification is critical to determine the response actions. Different strateg…
cs.CR2025
Enhanced Consistency Bi-directional GAN (CBiGAN) for Malware Anomaly Detection
Thesath Wijayasiri, Kar Wai Fok, Vrizlynn L. L. Thing
Static malware analysis remains a core technique in cybersecurity due to its ability to assess potentially malicious software without execution. Nevertheless, many existing static…