| Title: | a novel vector edge sampling scheme for ip traceback against ddos attacks |
| Author: | Wei Jun
; Chen Kai
; Lian Yi-Feng
; Dai Ying-Xia
|
| Source: | 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
|
| Conference Name: | 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
|
| Conference Date: | 37448
|
| Issued Date: | 2010
|
| Conference Place: | Qingdao, China
|
| Keyword: | Cybernetics
; Hierarchical systems
; Internet protocols
; Learning systems
; Probability
; Transmission control protocol
; Vectors
|
| Publish Place: | United States
|
| Indexed Type: | EI
|
| ISBN: | 9781420000000
|
| Department: | (1) China Information Security Certification Center, Beijing 100020, China; (2) Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) State Key Laboratory of Information Security, Chinese Academy of Sciences, Beijing 100049, China
|
| English Abstract: | A novel edge sampling scheme for IP traceback against DDoS attacks is presented, which is called routers vector edge sampling (RVES). It is simple for marking machines to be implemented. A packet will be probabilistically pre-marked and post-marked on traversed routers interfaces. This approach supports incremental deployment, which makes it effective for multi-path attack reconstruction and computation. Probability packet marking (PPM) and reconstruction algorithm based on RVES is also presented. We implemented prototypes and deployed them in the real Internet to make some experiments. The results show that our method is effective and efficient. © 2010 IEEE. |
| Content Type: | 会议论文
|
| URI: | http://ir.iscas.ac.cn/handle/311060/8620
|
| Appears in Collections: | 软件工程技术研究开发中心 _会议论文
|
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| 05580796.pdf（186KB） | -- | -- | 限制开放 | -- | 联系获取全文 |
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| Recommended Citation: | |
Wei Jun,Chen Kai,Lian Yi-Feng,et al. a novel vector edge sampling scheme for ip traceback against ddos attacks[C]. 见:2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010. Qingdao, China. 37448.
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