Title :
DoS attack detection using a two dimensional wavelet transform
Author :
de Azevedo, R.P. ; Mozzaquatro, B. ; Kozakevicius, Alice ; Nunes, Raul C. ; Cappo, C. ; Schaerer, Christian
Author_Institution :
Fed. Univ. of Santa Maria, Santa Maria, Brazil
Abstract :
The analysis of network traffic is a key area for the management of fault-tolerant systems, since anomalies in network traffic can affect the availability and quality of service (QoS). This work proposes an intrusion detection tool based on the two-dimensional wavelet transform to quickly and effectively detect anomalies in computer networks generated by denial of service (DoS). Experiments were performed using two databases: a synthetic (DARPA) and another one from data collected at the Federal University of Santa Maria (UFSM), allowing analysis of the intrusion detection tool under different scenarios. The wavelets considered for the tests were all from the orthonormal family of Daubechies: Haar (Db1), Db2, Db4 and Db8 (with 1, 2, 4 and 8 null vanishing moments respectively). For the DARPA database we obtained a detection rate up to 100% and 95% for the UFSM database.
Keywords :
computer network security; fault tolerance; quality of service; telecommunication traffic; wavelet transforms; DoS attack detection; Federal University of Santa Maria; QoS; UFSM; computer network; denial of service; fault-tolerant system management; intrusion detection tool; network traffic analysis; network traffic anomaly detection; quality of service; synthetic DARPA; two dimensional wavelet transform; Databases; Detectors; Discrete wavelet transforms; Educational institutions; Intrusion detection; Media; 2D Wavelet; Anomaly Detection; Distributed Systems; Intrusion Detection; Wavelet;
Conference_Titel :
Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
Conference_Location :
Medellin
Print_ISBN :
978-1-4673-0794-9
DOI :
10.1109/CLEI.2012.6427250
