Title :
Design of the Network Traffic Anomaly Detection System in Cloud Computing Environment
Author :
Long Zhang ; Jinsong Wang ; Sheng Lin
Author_Institution :
Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol. Acceptable, Tianjin, China
Abstract :
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.
Keywords :
cloud computing; computer network security; data flow analysis; decision making; IT management; anomaly checking; cloud computing environment; cloud computing technology; decision making; deep packet inspection; flow data change; large-scale data computing; network operating status; network status stability; network traffic anomaly detection system; network work traffic; security rules; supercomputing model; anomaly detection; cloud computing; deep packet inspection; flow;
Conference_Titel :
Information Science and Engineering (ISISE), 2012 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5680-0
DOI :
10.1109/ISISE.2012.13