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NETWORKING
2004
13 years 5 months ago
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data
If efficient network analysis tools were available, it could become possible to detect the attacks, anomalies and to appropriately take action to contain the attacks. In this paper...
Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannu...
TON
2008
106views more  TON 2008»
13 years 3 months ago
Statistical techniques for detecting traffic anomalies through packet header data
This paper proposes a traffic anomaly detector, operated in postmortem and in real-time, by passively monitoring packet headers of traffic. The frequent attacks on network infrastr...
Seong Soo Kim, A. L. Narasimha Reddy
APNOMS
2006
Springer
13 years 7 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
165views more  JSAC 2006»
13 years 3 months ago
Image-Based Anomaly Detection Technique: Algorithm, Implementation and Effectiveness
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. This paper presents NetViewer, a network measure...
Seong Soo Kim, A. L. Narasimha Reddy
INFOCOM
2005
IEEE
13 years 9 months ago
A study of analyzing network traffic as images in real-time
—This paper presents NetViewer, a network measurement approach that can simultaneously detect, identify and visualize attacks and anomalous traffic in real-time by passively moni...
Seong Soo Kim, A. L. Narasimha Reddy