A Hybrid Network Intrusion Detection Framework Using Association Mining and Ensemble Learning
The rapid growth of internet traffic has made computer networks vulnerable to intrusions, and a major challenge to protect them against such intrusions. Signature-based Intrusion Detection Systems (IDS) work well for known attacks but are incapable of detecting new or changing attacks. This study suggests a hybrid Netw...