Automatic partitioning of full-motion video
Multimedia Systems
Testing the Gaussian approximation of aggregate traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
A fast algorithm for video parsing using MPEG compressed sequences
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Automatically inferring patterns of resource consumption in network traffic
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Snort - Lightweight Intrusion Detection for Networks
LISA '99 Proceedings of the 13th USENIX conference on System administration
FlowScan: A Network Traffic Flow Reporting and Visualization Tool
LISA '00 Proceedings of the 14th USENIX conference on System administration
IEEE Transactions on Multimedia
Network stack diagnosis and visualization tool
Proceedings of the Symposium on Computer Human Interaction for the Management of Information Technology
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The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. If efficient analysis tools were available, it could become possible to detect the attacks, anomalies and to appropriately take action to contain the attacks before they have had time to propagate across the network. This paper describes NetViewer, a network monitoring tool that can simultaneously detect, identify and visualize attacks and anomalous traffic in real-time by passively monitoring packet headers. NetViewer represents the traffic data as images, enabling the application of image/video processing techniques for the analysis of network traffic. NetViewer is released free to the general public. By employing a freely available visualization tool, the users of NetViewer can comprehend the characteristics of the network traffic observed in the aggregate. NetViewer can be employed to detect and identify network anomalies such as DoS/DDoS attacks, worms and flash crowds. NetViewer can also provide information on traffic distributions over IP address/port number domains, utilization of link capacity and effectiveness of Quality of Service policies.