Using deep graph learning to improve dynamic analysis-based malware detection in PE files

MT Nguyen, VH Nguyen, N Shone - Journal of Computer Virology and …, 2024 - Springer
Detecting zero-day malware in Windows PE files using dynamic analysis techniques has
proven to be far more effective than traditional signature-based methods. One specific …

Experimental Evaluation of Homomorphic Encryption in Cloud and Edge Machine Learning

J Hrzich, G Basra, T Halabi - 2022 14th International …, 2022 - ieeexplore.ieee.org
Machine Learning (ML)-based intelligent services are gradually becoming the leading
service design and delivery model in edge computing, where user and device data is …

Bypassing anti-emulation methods for malware detection

D Dai Nguyen - Journal of Computer Science and Cybernetics, 2024 - vjs.ac.vn
Malware detection has played a crucial role in many cyberattacks in recent years. Due to the
obfuscated nature of malware, the traditional static analysis technique tends to be …

[PDF][PDF] Using Deep Graph Learning to Improve Dynamic Analysis-based Malware Detection

TN Minh, HN Viet, N Shone - researchonline.ljmu.ac.uk
Detecting zero-day malware using dynamic analysis techniques has proven to be far more
effective than traditional signature-based methods. One specific approach that has emerged …

Behaviour profiling of microservice-based applications and anomaly detection in cloud

M Ghorbani - 2021 - espace.etsmtl.ca
Today, many organizations are moving their applications towards microservice architecture
and virtualized environments because of the benefits such as deployment agility, scalability …