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基于动态概率包标记的IP追踪方法
引用本文:冯波,郭帆,余敏.基于动态概率包标记的IP追踪方法[J].计算机工程,2010,36(2):152-155.
作者姓名:冯波  郭帆  余敏
作者单位:江西师范大学计算机信息工程学院,南昌,330022
基金项目:国家“973”计划面上基金资助项目“信息处理和网络资源优化的基础研究”(2007CB316505);;江西省教育厅科技计划基金资助项目(2006070)
摘    要:目前多数概率包标记都存在遗失标记信息、重构困难、准确率低等现象。针对该问题,提出一种基于动态概率包标记的IP追踪方法。采用动态标记概率代替原有的固定标记概率用于判断是否对数据包进行标记,应用更合适的概率对其标记。实验结果表明,该方法能解决标记覆盖问题,降低样本依赖性,提高准确率。

关 键 词:IP追踪  分布式拒绝服务攻击  概率包标记  网络安全
修稿时间: 

IP Traceback Method Based on Dynamic Probabilistic Packet Marking
FENG Bo,GUO Fan,YU Min.IP Traceback Method Based on Dynamic Probabilistic Packet Marking[J].Computer Engineering,2010,36(2):152-155.
Authors:FENG Bo  GUO Fan  YU Min
Affiliation:(School of Computer and Information Engineering, Jiangxi Normal University, Nanchang 330022)
Abstract:Most of the Probability of Packet Marking(PPM) exist many problems such as the lost of marking information, the difficulties to reconstruct attack path, low accuracy and so on. Aiming this problem, this paper presents an IP traceback method based on Dynamic Probabilistic Packet Marking(DPPM), to further improve the effectiveness of PPM. Instead of using a fixed marking probability, this paper proposes to judge whether the packet has been marked or not then choose a proper marking probability. Experimental result shows that it can solve most of the problems in PPM method, reduce sample dependence and increase the accuracy.
Keywords:IP traceback  Distributed Denial of Service attack(DDoS)  Probabilistic Packet Marking(PPM)  network security
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