Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets

<div>The ML algorithms’ accuracy after noise filtering and injection. (a) NSL-KDD. (b) UNSW-NB15.</div>

Security and Communication Networks

Figure 9: Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets 