An Improved Wavelet Analysis Method for Detecting DDoS Attacks

IEEE Computer Society
Publication Type:
Conference Proceeding
2010 4th International Conference on Network and System Security (NSS), 2010, pp. 318 - 322
Issue Date:
Full metadata record
Files in This Item:
Filename Description SizeFormat
2010001397.pdf161.29 kBAdobe PDF
Wavelet Analysis method is considered as one of the most efficient methods for detecting DDoS attacks. However, during the peak data communication hours with a large amount of data transactions, this method is required to collect too many samples that will greatly increase the computational complexity. Therefore, the real-time response time as well as the accuracy of attack detection becomes very low. To address the above problem, we propose a new DDoS detection method called Modified Wavelet Analysis method which is based on the existing Isomap algorithm and wavelet analysis. In the paper, we present our new model and algorithm for detecting DDoS attacks and demonstrate the reasons of why we enlarge the Hurstâs value of the self-similarity in our new approach. Finally we present an experimental evaluation to demonstrate that the proposed method is more efficient than the other traditional methods based on wavelet analysis.
Please use this identifier to cite or link to this item: