Title :
DoS Detection is Easier Now
Author :
Ozcelik, Ibrahim ; Yu Fu ; Brooks, R.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA
Abstract :
In this study, we test anomaly based Denial of Service (DoS) detection approaches on networks with different utilization profiles. In the experiments, we use operational background traffic and performed Distributed DoS attackswithout disturbing the operational network. Experiment results indicate that the detection approach´s detection performance is inversely proportional to network utilization and optimal detection parameters depend on network utilization.
Keywords :
computer network security; anomaly-based DoS detection approach; anomaly-based denial-of-service detection approach; distributed DoS attacks; network utilization; operational background traffic; optimal detection parameter; utilization profiles; Bandwidth; Computer crime; Computers; Educational institutions; Equations; Noise; DDoS; DoS; GENI; Network Security; Openflow; Performance Analysis;
Conference_Titel :
Research and Educational Experiment Workshop (GREE), 2013 Second GENI
Conference_Location :
Salt Lake City, UT
DOI :
10.1109/GREE.2013.18
