A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems
Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid.However, they are the main systems targeted by cyber-attacks.A number of approaches have been proposed to classify and detect these attacks, including supervised machine learning.However, these models require large labeled datasets