Intrusion Detection System Using a Hybrid of SVM and RFE
摘要
With the growing technology nowadays, network security has become a top priority. While connecting to a network, there should be caution to block unwanted access. An Intrusion Detection System monitors and detects these security threats in the network. Various methods exist for such systems, but challenges exist in improving accuracy while detecting intrusion attacks. Machine learning techniques help to learn from past experiences and to detect attacks. In our work, we are using a hybrid of SVM and recursive feature elimination to recognize the intrusions. Using the NSL-KDD dataset, we propose an IDS to improve accuracy and detect network intrusions.