The increasing number of security attacks have inspired researchers to employ various
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …

Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to
software-defined networks (SDNs). This paper proposes a feature-engineering-and machine …

Support vector machine (SVM) is a supervised machine learning algorithm for classification
and regression problems. SVM performs better when combined with other classifiers or …

Networking defined by software (SDN) has arisen as an encouraging path for the internet's
future expansion, providing enhanced flexibility and transparency to centrally managed …

The increase in cybersecurity threads and the complexity existing in the attacks, the demand
for robust Intrusion Detection Systems (IDS) has grown significantly. This paper explores the …

In the dynamic world, NIDS (Network Intrusion Detection System) is one of the important
methods in cyber security. The intrusion detection system (IDS) is an important “security …