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Research on DDoS Filtering Algorithm Based on Bloom Filter WhiteList

机译:基于Bloom Filter WhiteList的DDoS过滤算法研究

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With the DDoS (distributed denial of service) traffic which was implemented using depleted bandwidth is filtered by routers in high speed network, it is impossible for the victim to work on the individual level of on-going traffic flows. The scheme establishes the source and destination IP address database by observing the normal traffic and storages it in a Bloom Filter table. The Netflow statistics is mainly used to allocate the weights for traffic routing by routers. A new algorithm is thus proposed to get efficiently maximum throughput by the traffic filtering, and its feasibility and validity have been verified in real network circumstances. The algorithm shows its advantages that it just occupies a small part of resources. Moreover, it can optimize the network traffic simultaneously with defending against DDoS attack, thus eliminating efficiently the global burst of traffic arising from normal traffic so as to improve greatly the efficiency of servers.
机译:通过使用耗尽的带宽实现的DDoS(分布式拒绝服务)流量由高速网络中的路由器过滤,受害者无法在持续的流量水平上工作。该方案通过观察正常流量来建立源IP地址数据库和目标IP地址数据库,并将其存储在Bloom Filter表中。 Netflow统计信息主要用于为路由器的流量路由分配权重。因此,提出了一种新的算法,以通过流量过滤有效地获得最大吞吐量,并且其可行性和有效性已在实际网络环境中得到了验证。该算法显示出其优点,即仅占用一小部分资源。此外,它可以在抵御DDoS攻击的同时优化网络流量,从而有效消除了正常流量引起的全球流量突发,从而大大提高了服务器的效率。

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