Research on methods for detecting DDoS attacks based on entropy
Yuan Liu · Jisuanji gongcheng yu sheji · 2009
Distributed denial of service(DDoS) attacks generate enormous packets by a large number of agents and can easily exhaust the computing and communication resources of a victim within a short period of time.The conclusion is drawn that a method for the proactive detection based on cluster analysis is more effective after some methods for detection based on the classification of each phase of DDoS attack are researched and analyzed.However the algorithm has some redundancy.The algorithm based on cluster analysis is improved according to the property of entropy by extracting the key variables from the related variables.The result of the analysis on the experiment shows that the efficiency of the algorithm for detecting DDoS attacks based on cluster analysis is raised by improving the original algorithm.