Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Abstract: Industrial Internet of Things (IIoT) devices have multiplied rapidly, expanding attack surfaces and creating new security challenges for intrusion detection systems. Traditional machine ...
Abstract: Software-defined networks (SDNs) face significant challenges from link flooding attacks (LFAs), where malicious bots flood towards a limited number of hidden hosts, known as decoys, at a low ...