Detection of HTTP flooding attacks in multiple scenarios

Abstract

HTTP GET flooding attack is considered to be one of the most successful attacks of Application Layer Denial of Service (App-DoS). Detection of such attack is difficult due to its non-intrusive nature. This paper presents an effective method for detection of such App-DoS attack for three different scenarios. The proposed method was tested over three real-life data-sets, i.e. KDD99, LBNL and our own data-set, and has been found to perform satisfactorily.