Title :
Early warning and tracking technology against large-scaleflow attack in information network for ITS
Author :
Zhang, You-chun ; Liu, Zeng-liang ; Wei, Jun ; Ma, Fang
Author_Institution :
Inf. Eng. Inst., Univ. of Sci. & Technol. of Beijing, Beijing, China
Abstract :
The critical security problem in ITS information network is network availability. It is important to avoid flow attack against network availability. This paper analyzes first several current IP-track technologies to find attack route, then analyzes and evaluates the ldquovector edge router samplingrdquo (RVES) method proposed by Chinese experts lately. We developed a prototype system based on RVES way, and carry on experiment in ITS network, results show that the RVES method is easy to implement and flexible for marking probability´s strategy configuration, which can effectively solve the early warning and detect problem about flow attack. Lastly, we proposed possible real world applications of RVES.
Keywords :
IP networks; information networks; telecommunication network routing; telecommunication security; IP-track technology; ITS information network; attack route; early warning technology; flow attack; network availability; security problem; tracking technology; vector edge router sampling; Availability; Cybernetics; Data security; Information security; Intelligent transportation systems; Large-scale systems; Machine learning; Packaging; Random number generation; Sampling methods; Flow attack; IP tracking; ITS network; PPM method; RVES method; Simulation;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212709