Title :
Wavelet-Based Unwanted Traffic Time Series Analysis
Author :
Limthong, Kriangkrai ; Kensuke, Fukuda ; Watanapongse, Pirawat
Author_Institution :
Kasetsart Univ., Bangkok
Abstract :
Identifying traffic anomalies precisely and instantaneously is critical to network stability. Most studies have focused on analyzing unwanted traffic from a Darknet system. However, conventional methods of detecting anomalous activities from these data are not applicable to detection. We apply discrete wavelet transform (DWT) techniques for traffic signal decomposition and examine unknown anomalous activities from unwanted traffic data. Our work focuses on three unwanted traffic packets: TCP SYNs, TCP SYN/ACKs, and UDP packets and on three intervals: 10-ms, 100-ms and 1-s. Furthermore, we discuss the features of this approach and consider some of its possible realizations. Our goal is to reveal properties when wavelet techniques are used to detect network anormalies behavior.
Keywords :
discrete wavelet transforms; telecommunication traffic; transport protocols; DWT techniques; Darknet system; TCP SYN/ACKs; TCP SYNs; UDP packets; discrete wavelet transform techniques; time 1 s; time 10 ms; time 100 ms; traffic signal decomposition; unwanted traffic time series analysis; Computer crime; Computer networks; Data analysis; Discrete wavelet transforms; Monitoring; Signal processing; Statistical analysis; Telecommunication traffic; Time series analysis; Wavelet analysis; Anomalies Detection; Darknet; Time Series; Unwanted Traffic; Wavelet Decomposition;
Conference_Titel :
Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3504-3
DOI :
10.1109/ICCEE.2008.106