Adaptive EWMA Method Based on Abnormal Network Traffic for LDoS Attacks
Joint Authors
Chen, Kai
Tang, Dan
Liu, HuiYu
Chen, XiaoSu
Li, Xinhua
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The low-rate denial of service (LDoS) attacks reduce network services capabilities by periodically sending high intensity pulse data flows.
For their concealed performance, it is more difficult for traditional DoS detection methods to detect LDoS attacks; at the same time the accuracy of the current detection methods for LDoS attacks is relatively low.
As the fact that LDoS attacks led to abnormal distribution of the ACK traffic, LDoS attacks can be detected by analyzing the distribution characteristics of ACK traffic.
Then traditional EWMA algorithm which can smooth the accidental error while being the same as the exceptional mutation may cause some misjudgment; therefore a new LDoS detection method based on adaptive EWMA (AEWMA) algorithm is proposed.
The AEWMA algorithm which uses an adaptive weighting function instead of the constant weighting of EWMA algorithm can smooth the accidental error and retain the exceptional mutation.
So AEWMA method is more beneficial than EWMA method for analyzing and measuring the abnormal distribution of ACK traffic.
The NS2 simulations show that AEWMA method can detect LDoS attacks effectively and has a low false negative rate and a false positive rate.
Based on DARPA99 datasets, experiment results show that AEWMA method is more efficient than EWMA method.
American Psychological Association (APA)
Tang, Dan& Chen, Kai& Chen, XiaoSu& Liu, HuiYu& Li, Xinhua. 2014. Adaptive EWMA Method Based on Abnormal Network Traffic for LDoS Attacks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-476310
Modern Language Association (MLA)
Tang, Dan…[et al.]. Adaptive EWMA Method Based on Abnormal Network Traffic for LDoS Attacks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-476310
American Medical Association (AMA)
Tang, Dan& Chen, Kai& Chen, XiaoSu& Liu, HuiYu& Li, Xinhua. Adaptive EWMA Method Based on Abnormal Network Traffic for LDoS Attacks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-476310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476310