A new active DDoS defense system based on automatic learning

Authors:
Junfeng Tian;Min Peng;Yuling Liu
Affiliations:
Faculty of Mathematics and Computer Science, Hebei University, Baoding, China;Faculty of Mathematics and Computer Science, Hebei University, Baoding, China;Faculty of Mathematics and Computer Science, Hebei University, Baoding, China
Venue:
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Year:
2005

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Abstract

Active DDoS Defense System (ADDS) compensates the deficiencies of isolated defenses made by routers, firewalls or kernel defense programs, and ADDS implements technique of net traffics analysis to control routers for optimizing net traffics distribution. The use of neural network made ADDS the capacity of automatic learning, and ADDS filters DDoS attack traffics automatically according the intensity of attacks in each router; the use of accelerated arithmetic of iteration made ADDS the capacity of quick response.