| 基于验证与自主学习的主动DDoS防御系统 |
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| 引用本文： | 马胜甫,彭岷,田俊峰,李仁玲.基于验证与自主学习的主动DDoS防御系统[J].计算机工程与应用,2006,42(8):133-136. |
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| 作者姓名： | 马胜甫 彭岷 田俊峰 李仁玲 |
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| 作者单位： | 1. 河北大学数学与计算机学院,河北,保定,071002
2. 河北医科大学图书馆,石家庄,050091 |
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| 摘 要： | 主动DDoS防御系统(ADDS)主要防御基于网络的DDoS攻击。使用体系防御技术组织防火墙、路由器和中心主机共同防御,弥补了防火墙、路由器和内核级防御程序单独防御的不足;使用分区超时技术使系统具有快速防御DDoS的能力;使用流量分析技术控制路由器,优化网络流量分配;使用连接验证技术消除傀儡机的攻击。多种技术和多层次的防御使系统具有较强的防御DDoS攻击能力。
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| 关 键 词： | 分布式拒绝服务 体系防御 验证 主动防御 神经网络 流量分析 |
| 文章编号： | 1002-8331-（2006）08-0133-04 |
| 收稿时间： | 2005-09 |
| 修稿时间： | 2005-09 |
A New Authorization-based and Autonomic Learning-based Active DDoS Defense System |
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| Ma Shengfu,Peng Min,Tian Junfeng,Li Renling.A New Authorization-based and Autonomic Learning-based Active DDoS Defense System[J].Computer Engineering and Applications,2006,42(8):133-136. |
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| Authors: | Ma Shengfu Peng Min Tian Junfeng Li Renling |
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| Affiliation: | 1.College of Mathematics and Computer,Hebei University, Baoding, Hebei 071002;2.Library of Hebei Medical University,Shijiazhuang 050091 |
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| Abstract: | Active DDoS Defense System(ADDS) implements technique of architecture defense to integrate routers, firewalls and the host to defend DDoS attacks;compensates the deficiencies of separated defenses made by routers,firewalls or kernel defense programs;implements multi-segment timeout to reinforce system defense against DDoS attacks;implements technique of net flow analysis to control routers for optimizing net flow distribution;implements authorization to eliminate DDoS attacks made by agents.The application of multiple technology and multilayer defense develops capacity against DDoS attacks. |
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| Keywords: | DDoS architecture defense authorization active defense Neural Network net flow analysis |
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