RWArmor: A Static-Informed Dynamic Analysis Approach for Early Detection of Cryptographic Windows Ransomware
Combining static features with dynamic-analysis signals to detect cryptographic ransomware early in the encryption lifecycle.
Content tagged with "malware"
Combining static features with dynamic-analysis signals to detect cryptographic ransomware early in the encryption lifecycle.
A constant-memory architecture for classifying sequences of arbitrary length, applied to whole-binary malware detection.
An online-learning approach for patching deployed malware classifiers when new false positives surface in production.
An automated approach to generating high-quality YARA detection rules using biclustering over malware feature space.