Evaluation of Machine Learning Algorithms in Network-Based Intrusion Detection System. (arXiv:2203.05232v1 [cs.CR])

Cybersecurity has become one of the focuses of organisations. The number of
cyberattacks keeps increasing as Internet usage continues to grow. An intrusion
detection system (IDS) is an alarm system that helps to detect cyberattacks. As
new types of cyberattacks continue to emerge, researchers focus on developing
machine learning (ML) based IDS to detect zero-day attacks. Researchers usually
remove some or all attack samples from the training dataset and only include
them in the testing dataset when evaluating the performance …

algorithms detection intrusion detection machine machine learning machine learning algorithms network system