TY - JOUR
T1 - Wavelet-based real time detection of network traffic anomalies
AU - Huang, Chin Tser
AU - Thareja, Sachin
AU - Shin, Yong June
PY - 2008
Y1 - 2008
N2 - Real time network monitoring for intrusions is offered by various host and network based intrusion detection systems. These systems largely use signature or pattern matching techniques at the core and thus are ineffective in detecting unknown anomalous activities. In this paper, we apply signal processing techniques in intrusion detection systems, and develop and implement a framework, called Waveman, for real time wavelet-based analysis of network traffic anomalies. Then, we use two metrics, namely percentage deviation and entropy, to evaluate the performance of various wavelet functions on detecting different types of anomalies like Denial of Service (DoS) attacks and portscans. Our evaluation results show that Coiflet and Paul wavelets perform better than other wavelets in detecting most anomalies considered in this work.
AB - Real time network monitoring for intrusions is offered by various host and network based intrusion detection systems. These systems largely use signature or pattern matching techniques at the core and thus are ineffective in detecting unknown anomalous activities. In this paper, we apply signal processing techniques in intrusion detection systems, and develop and implement a framework, called Waveman, for real time wavelet-based analysis of network traffic anomalies. Then, we use two metrics, namely percentage deviation and entropy, to evaluate the performance of various wavelet functions on detecting different types of anomalies like Denial of Service (DoS) attacks and portscans. Our evaluation results show that Coiflet and Paul wavelets perform better than other wavelets in detecting most anomalies considered in this work.
KW - Entropy
KW - Intrusion detection
KW - Network traffic anomaly
KW - Percentage deviation
KW - Wavelet
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M3 - Article
AN - SCOPUS:77957703547
SN - 1816-353X
VL - 6
SP - 309
EP - 320
JO - International Journal of Network Security
JF - International Journal of Network Security
IS - 3
ER -