A Survey on Malware Detection with Graph Representation Learning. (arXiv:2303.16004v1 [cs.CR])

Malware detection has become a major concern due to the increasing number and
complexity of malware. Traditional detection methods based on signatures and
heuristics are used for malware detection, but unfortunately, they suffer from
poor generalization to unknown attacks and can be easily circumvented using
obfuscation techniques. In recent years, Machine Learning (ML) and notably Deep
Learning (DL) achieved impressive results in malware detection by learning
useful representations from data and have become a solution preferred over
traditional methods. More …

application attacks complexity data deep learning detection machine machine learning major malware malware detection obfuscation poor representation results signatures solution structured data survey techniques