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ICC
2007
IEEE
203views Communications» more  ICC 2007»
13 years 11 months ago
A Multi-Scale Tomographic Algorithm for Detecting and Classifying Traffic Anomalies
—The occurrence of a traffic anomaly is always responsible for a degradation of performance. The anomaly can be observable, at some scale, in different ways: an increase in the n...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
ICDCSW
2006
IEEE
13 years 11 months ago
An Evaluation of the Effectiveness of Measurement-based Anomaly Detection Techniques
A number of recent studies have proposed measurement based approaches to network traffic analysis. These techniques treat traffic volume and traffic header data as signals or imag...
Seong Soo Kim, A. L. Narasimha Reddy
APNOMS
2006
Springer
13 years 8 months ago
Detecting and Identifying Network Anomalies by Component Analysis
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
Le The Quyen, Marat Zhanikeev, Yoshiaki Tanaka
JSAC
2006
95views more  JSAC 2006»
13 years 4 months ago
Impact of Packet Sampling on Portscan Detection
Abstract-- Packet sampling is commonly deployed in highspeed backbone routers to minimize resources used for network monitoring. It is known that packet sampling distorts traffic s...
Jianning Mai, Ashwin Sridharan, Chen-Nee Chuah, Hu...
IJNSEC
2008
137views more  IJNSEC 2008»
13 years 4 months ago
Baseline Profile Stability for Network Anomaly Detection
Network attacks are commonplace in the Internet. One of the defense mechanisms against the network attacks is using a baseline profile established during normal operation to detec...
Yoohwan Kim, Ju-Yeon Jo, Kyunghee Kim Suh