Design of the Network Traffic Anomaly Detection System in Cloud Computing Environment
Long Zhang, Jinsong Wang, Sheng Lin · 2012
Network traffic anomaly detection is one of the most important components of IT management. Analyzing the components of the network work traffic, we can judge the operating status of the network and make the right decision to make sure the stable status of the network. The method based on flow data displays the current status of the network and we can found anomalies from change of flow data. Deep packet inspection helps us check anomalies by security rules. The cloud computing technology which is a new super-computing model has a huge superiority in dealing with large-scale data computing.