DocumentCode
3074371
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
fYear
2013
fDate
20-22 March 2013
Firstpage
50
Lastpage
55
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Research and Educational Experiment Workshop (GREE), 2013 Second GENI
Conference_Location
Salt Lake City, UT
Type
conf
DOI
10.1109/GREE.2013.18
Filename
6601415
Link To Document