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IJNSEC
2016

Rank Correlation for Low-Rate DDoS Attack Detection: An Empirical Evaluation

3 years 9 months ago
Rank Correlation for Low-Rate DDoS Attack Detection: An Empirical Evaluation
A low-rate distributed denial of service (DDoS) attack has the ability to obscure its tra c because it is very similar to legitimate tra c. It can easily evade current detection mechanisms. Rank correlation measures can quantify significant di↵erences between attack tra c and legitimate traffic based on their rank values. In this paper, we use two rank correlation measures, namely, Spearmen Rank Correlation (SRC) and Partial Rank Correlation (PRC) to detect low-rate DDoS attacks. These measures are empirically evaluated using three real-life datasets. Experimental results show that both measures can e↵ectively discriminate legitimate tra c from attack tra c. We find that PRC performs better than SRC in detection of low-rate DDoS attacks in terms of spacing between malicious and legitimate tra c.
Arindom Ain, Monowar H. Bhuyan, Dhruba K. Bhattach
Added 05 Apr 2016
Updated 05 Apr 2016
Type Journal
Year 2016
Where IJNSEC
Authors Arindom Ain, Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita
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