首页> 外文期刊>IEEE transactions on dependable and secure computing >On Network Footprint of Traffic Inspection and Filtering at Global Scrubbing Centers
【24h】

On Network Footprint of Traffic Inspection and Filtering at Global Scrubbing Centers

机译:全球洗涤中心流量检查和过滤的网络足迹

获取原文
获取原文并翻译 | 示例
       

摘要

Traffic diversion through powerful cloud-based scrubbing centers provides a solution for protecting against various DDoS attacks. In one respect, such a solution enables sanitizing attack traffic close to its source and saves precious resources for the network service provider. Contrarily, the diversion of the inspected traffic toward the scrubbing centers may increase its footprint in the network. The location of the scrubbing centers greatly affects the network resource utilization and, therefore, should be carefully considered in the design of the security service. In this paper, we investigate four deployment strategies and compare their performance on a network of Points-of-Presence and on several router level topologies obtained from the RocketFuel project. The deployment quality was measured using the following criteria: the footprint of the inspected traffic, the redistribution of load on the links, and the increase in communication latency. Our results show that the deployment strategy that is considered to perform well for locating network monitors by maximizing flow coverage results in the worst footprint when traffic diversion is employed. Overall, we show that the deployment strategy that is tailored for traffic filtering is also suitable for traffic monitoring, but not the other way around.
机译:通过功能强大的基于云的清理中心进行的流量转移提供了一种防御各种DDoS攻击的解决方案。一方面,这种解决方案使得能够清除攻击源附近的攻击流量,并为网络服务提供商节省宝贵的资源。相反,将检查的流量转移到清理中心可能会增加其在网络中的占用空间。清理中心的位置极大地影响了网络资源的利用率,因此,在安全服务的设计中应仔细考虑。在本文中,我们研究了四种部署策略,并在存在点网络和从RocketFuel项目获得的几种路由器级别拓扑上比较了它们的性能。使用以下标准衡量部署质量:检查流量的占用量,链路上负载的重新分布以及通信延迟的增加。我们的结果表明,当采用流量分流时,被认为可以通过最大化流量覆盖范围来很好地定位网络监视器的部署策略会导致最坏的占用空间。总体而言,我们证明了针对流量过滤量身定制的部署策略也适用于流量监控,但并非相反。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号