Document Type


Presentation Date


Conference Name

2007 IEEE International Conference on Multimedia and Expo

Conference Location

Beijing, China



Place of Publication

E-ISBN : 1-4244-1017-7; Print ISBN: 1-4244-1016-9

Inclusive pages

1539 - 1542


Multimedia transmission over the Internet has its quality of service (QoS) requirement. However, denial-of-service (DoS) attacks launch large volumes of traffic and consume network bandwidth, thus degrading the quality of the delivered multimedia service. In this paper, we present a differentiated service protection framework consisting of anomaly traffic detection and resource management. Data mining based anomaly traffic detection is implemented at the host; whereas resource management is responsible for the allocation of network resources to the applications. Based on the deviation of the monitored traffic to the normal traffic, differentiated resources are allocated to the traffic. When suspicious traffic is detected, multimedia transmission reacts proactively via adjusting the transmission rate, which can avoid possible packet loss resulting from DoS bandwidth consumption, and thus provide better QoS. The impact of the traffic anomalies on the legitimate services can be mitigated, and the legitimate services can be protected. Simulation results show that better PSNR can be achieved for multimedia transmission during an attack in our proposed framework.


DiffServ networks, data mining;multimedia communication, quality of service, telecommunication security, telecommunication traffic, Internet multimedia transmission, anomaly traffic detection;data mining, denial-of-service attacks, differentiated resource allocation, differentiated service protection, multimedia service, network resource allocation, quality of service, resource management, suspicious traffic detection, Bandwidth, Computer crime, Data mining, Degradation, Protection, Quality of service, Resource management, Telecommunication traffic, Traffic control, Web and internet services


Electrical and Computer Engineering