A Quantitative Logarithmic Transformation-Based Intrusion Detection System
Intrusion detection systems (IDS) play a vital role in protecting networks from malicious attacks.Modern IDS use machine-learning or deep-learning models to deal with the diversity of attacks that malicious users may employ.However, effective machine-learning methods incur a considerable cost in both the pretraining stage and the online detection p