Assignment: The current method of assessing website harmfulness is an ad-hoc combination of several metrics. Our job is to evaluate features which are useful for malware detection and develop a machine learning-based approach that would simplify and refine the malicious sites detection.
The development of the final algorithm is still underway. Approaches tested so far include logistic regression, random forest classifiers, boosted oblivious classificatio trees and histogram-based gradient boosting classification trees.
Cybersecurity company engaged in the detection of malicious websites based on DNS data, traffic analysis and other collected data