Bound Maxima as a Traffic Feature under DDOS Flood Attacks
This paper gives a novel traffic feature for identifying abnormal variation of traffic under DDOS flood attacks. It is the histogram of the maxima of the bounded traffic rate on an interval-by-interval basis. We use it to experiment on the traffic data provided by MIT Lincoln Laboratory under Defens...
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Hindawi Limited
2012-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2012/419319 |
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doaj-7feb0a3276f9443585d1504b5e61f66e2020-11-24T22:59:14ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472012-01-01201210.1155/2012/419319419319Bound Maxima as a Traffic Feature under DDOS Flood AttacksJie Xue0Ming Li1Wei Zhao2Sheng-Yong Chen3Jiangsu Electronic Information Products Quality Supervision & Inspection Research Institute, China National Center for Quality Supervision and Test for the Internet of Things Products & Systems, No. 100, Jin-Shui Road, Wuxi 214073, ChinaSchool of Information Science & Technology, East China Normal University, No. 500, Dong-Chuan Road, Shanghai 200241, ChinaDepartment of Computer and Information Science, University of Macau Av. Padre Tomas Pereira, Taipa, Macau SAR, P.R., ChinaCollege of Computer Science, Zhejiang University of Technology, Hangzhou 310023, ChinaThis paper gives a novel traffic feature for identifying abnormal variation of traffic under DDOS flood attacks. It is the histogram of the maxima of the bounded traffic rate on an interval-by-interval basis. We use it to experiment on the traffic data provided by MIT Lincoln Laboratory under Defense Advanced Research Projects Agency (DARPA) in 1999. The experimental results profitably enhance the evidences that traffic rate under DDOS attacks is statistically higher than that of normal traffic considerably. They show that the pattern of the histogram of the maxima of bounded rate of attack-contained traffic greatly differs from that of attack-free traffic. Besides, the present traffic feature is simple in mathematics and easy to use in practice.http://dx.doi.org/10.1155/2012/419319 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jie Xue Ming Li Wei Zhao Sheng-Yong Chen |
spellingShingle |
Jie Xue Ming Li Wei Zhao Sheng-Yong Chen Bound Maxima as a Traffic Feature under DDOS Flood Attacks Mathematical Problems in Engineering |
author_facet |
Jie Xue Ming Li Wei Zhao Sheng-Yong Chen |
author_sort |
Jie Xue |
title |
Bound Maxima as a Traffic Feature under DDOS Flood Attacks |
title_short |
Bound Maxima as a Traffic Feature under DDOS Flood Attacks |
title_full |
Bound Maxima as a Traffic Feature under DDOS Flood Attacks |
title_fullStr |
Bound Maxima as a Traffic Feature under DDOS Flood Attacks |
title_full_unstemmed |
Bound Maxima as a Traffic Feature under DDOS Flood Attacks |
title_sort |
bound maxima as a traffic feature under ddos flood attacks |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2012-01-01 |
description |
This paper gives a novel traffic feature for identifying abnormal variation of traffic under DDOS flood attacks. It is the histogram of the maxima of the bounded traffic rate on an interval-by-interval basis. We use it to experiment on the traffic data provided by MIT Lincoln Laboratory under Defense Advanced Research Projects Agency (DARPA) in 1999. The experimental results profitably enhance the evidences that traffic rate under DDOS attacks is statistically higher than that of normal traffic considerably. They show that the pattern of the histogram of the maxima of bounded rate of attack-contained traffic greatly differs from that of attack-free traffic. Besides, the present traffic feature is simple in mathematics and easy to use in practice. |
url |
http://dx.doi.org/10.1155/2012/419319 |
work_keys_str_mv |
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1725645307031584768 |