Machine Learning Approach for Attack Prediction and Classification Using Supervised Learning Algorithms
Due to the large volumes of data as well as the complex and dynamic properties of intrusion behaviors, data mining based intrusion detection techniques have been applied to network-based traffic data. With recent advances in computer technology large amounts of data could be collected and stored. Machine Learning techniques can help the integration of computer-based systems in the network environment providing opportunities to facilitate and enhance the work of network security experts. It ultimately improves the efficiency and quality of data and information.