Abstract
DoS attacks are still remaining unsolved mystery in internet. Though various methods such as change point detection, classifier method, packet marking, use of efficient filters and gateways have been proposed to mitigate DoS attacks, all these methods lack in enough accuracy in detection and hence the false alarm. The proposed work performs network traffic monitoring by way of analyzing the generated traffic signal and determines the traffic wavelet coefficients using continuous wavelet transform and based on the wavelet coefficients and energy distribution in successive time intervals, inference of attack occurrence is confirmed. In this paper, DoS attack detection is performed using three types of wavelet functions and the efficiency of different wavelets in the attack detection is compared.
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Jayashree, P., Aravinth, T., Ashok Kumar, S., Manikandan, S.K.R. (2010). DoS Attack Inference Using Traffic Wave Analysis. In: Meghanathan, N., Boumerdassi, S., Chaki, N., Nagamalai, D. (eds) Recent Trends in Networks and Communications. WeST VLSI NeCoM ASUC WiMoN 2010 2010 2010 2010 2010. Communications in Computer and Information Science, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14493-6_19
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DOI: https://doi.org/10.1007/978-3-642-14493-6_19
Publisher Name: Springer, Berlin, Heidelberg
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