Evaluation of Machine Learning Model for Network Anomaly Detection: Support Vector Machine
Andikan E. Okoro, Emmanuel A. Ubom & Ubong S. Ukommi · Journal of Engineering Research and Reports · 2024
Effective network anomaly detection plays a pivotal role in safeguarding digital assets against evolving cyber threats in cybersecurity. In this study, the NSL-KDD dataset was used to investigate anomaly detection using support Vector Machines (SVM) with various kernels: linear,...
Open access
Research Article
10.9734/jerr/2024/v26i81248