Empirical Analysis of Evasion and Poisoning against Malware Data Drift Detection

As concept drift due to malware evolution presents challenges for malware classification, machine learning-based data drift detection tools are developed to mitigate this problem. These data drift detector tools are designed for a different purpose and built with different techniques compared to...

What are Deep Neural Networks Learning About Malware?

An increasing number of modern antivirus solutions rely on machine learning ML techniques to protect users from malware. While ML-based approaches, like FireEye Endpoint Security’s MalwareGuard capability, have done a great job at detecting new threats, they also come with substantial development...

[Malware Classifier] Malware Analysis Tool

Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are...

Adobe Releases Malware Classifier Tool

Adobe has published a free tool that can help administrators and security researchers classify suspicious files as malicious or benign, using specific machine-learning algorithms. The tool is a command-line utility that Adobe officials hope will make binary classification a little easier. Adobe...