Each day, anti-virus companies receive tens of thousands samples of potentially harmful
executables. Many of the malicious samples are variations of previously encountered …

Graph-based malware detection methods must build a behavior graph for each known
malware, and they are difficult to apply in practice. To solve this issue, we study how to build …

As the volume of malware inexorably rises, comparison of binary code is of increasing
importance to security analysts as a method of automatically classifying new malware …

In an attempt to preserve the structural information in malware binaries during feature
extraction, function call graph-based features have been used in various research works in …

With the rapid emergence of graph representation learning, the construction of new large-
scale datasets is necessary to distinguish model capabilities and accurately assess the …

Problem statement: A malware is a program that has malicious intent. Nowadays, malware
authors apply several sophisticated techniques such as packing and obfuscation to avoid …

Malware stands for malicious software. It is software that is designed with a harmful intent. A
malware detector is a system that attempts to identify malware using Application …

About ten years ago, a novel graph edit distance framework based on bipartite graph
matching has been introduced. This particular framework allows the approximation of graph …

Code obfuscating technique plays a significant role to produce new obfuscated malicious
programs, generally called malware variants, from previously encountered malwares …

Detection of zero day malware has been the great challenge for researchers from long time.
Traditional signature based antimalware scanners detect malware based on their unique …