Distributed phishing URL classification: Leveraging modified XGBoost in network environments
A distributed phishing URL classification algorithm, called modified XGBoost (MD-XGBoost), is presented to bridge the gap existing between deep learning (DL) based high-accuracy but computationally-intensive methods and interpretable and computationally-efficient machine learning models to use in practice on a distributed network.