Ransomware keeps getting more dangerous but defense is improving, too. Machine learning might be the key to actually keeping up with the level of attacks.

For the machine learning pipeline, we followed a standard practice of segmenting the labeled data into 3 categories: training, validation, and testing.

Machine learning technologies have always been used as a tool for cyber-threat detection. However, as any machine learning-based detection algorithms must rely on measuring some features (system ...

The Locky ransomware strain, initially spotted in February 2016, has emerged as one of the most dangerous examples of the highly persistent and pernicious nature of modern cyber extortion ...

The BlackCat/ALPHV ransomware operation has begun to use a new tool named 'Munchkin' that utilizes virtual machines to deploy encryptors on network devices stealthily.