A few-shot malware classification approach for unknown family recognition using malware feature visualization

With the ever-increasing threat of malware attacks, building an effective malware classifier to detect malware promptly is of utmost importance. Malware is constantly growing and evolving with the use of sophisticated obfuscation techniques. Thus, classifying malware accurately becomes a tough challenge. Malware visualization approaches and deep...

The influence of sequence length on the clustering performance of MalPaCA

MalPaCa is a novel, unsupervised clustering algorithm, which creates based on the network flow of a software a behavioral profile representing its actual capabilities. One of the key variables affecting is performance and usability is the sequence length or how many packets it analyzes in order to group a connection to a cluster. This article...