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Published in:
2005 | OriginalPaper | Chapter
A New Active DDoS Defense System Based on Automatic Learning
Authors : Junfeng Tian, Min Peng, Yuling Liu
Published in: Advances in Computer Science – ASIAN 2005. Data Management on the Web
Publisher: Springer Berlin Heidelberg
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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.