{"title":"DiCoTraM:一种分布式和协调的DDoS洪水攻击,为流量监控量身定制","authors":"S. Zargar, J. Joshi, D. Tipper","doi":"10.1109/IRI.2014.7051881","DOIUrl":null,"url":null,"abstract":"The success in detecting Distributed Denial of Service (DDoS) flooding attacks is highly dependent on the quality and quantity of the covered flows by the traffic monitoring mechanism that is employed in any DDoS defense mechanism. In this paper, we propose DiCoTraM, a DDoS flooding attack tailored distributed and coordinated traffic monitoring mechanism that centrally and periodically coordinates the monitoring responsibilities and distributes them among all the monitoring devices within each autonomous system (AS) while satisfying the monitoring devices' memory constraints. DiCoTraM monitors traffic flows in such a way that the flows intended for the same destination (possible network/transport level DDoS flooding attack flows) are analyzed together in the same monitoring device if there is enough memory to cover those flows on the monitoring device; hence, this can enable distributed detection mechanisms in place to analyze the monitored flows. The enabled distributed detection leads to reduced communication overhead that is a problem in centralized detection mechanisms as they need to collect centrally all the flows for analysis. Moreover, the centralized coordination structure of DiCoTraM eliminates the redundant flow monitoring among the routers. We simulate and compare DiCoTraM with other traffic monitoring mechanisms in terms of: the overall flow coverage, and the DDoS flooding attack flow coverage. The experimental results show that DiCoTraM, compared to other monitoring mechanisms, covers more DDoS flooding attack flows and it has reasonable overall flow coverage.","PeriodicalId":360013,"journal":{"name":"Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"DiCoTraM: A distributed and coordinated DDoS flooding attack tailored traffic monitoring\",\"authors\":\"S. Zargar, J. Joshi, D. 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引用次数: 6
摘要
在任何DDoS防御机制中,流量监控机制所覆盖的流量的质量和数量都是检测DDoS (Distributed Denial of Service,分布式拒绝服务)洪水攻击成功与否的关键。在本文中,我们提出了DiCoTraM,一种针对DDoS洪水攻击的分布式和协调流量监控机制,该机制集中和周期性地协调监控职责,并将其分配给每个自治系统(AS)内的所有监控设备,同时满足监控设备的内存约束。DiCoTraM以这样一种方式监控流量,即在同一监控设备中,如果有足够的内存来覆盖监控设备上的这些流量,则针对同一目的地(可能的网络/传输级DDoS洪水攻击流)的流量将被一起分析;因此,这可以启用分布式检测机制来分析被监视的流。启用的分布式检测减少了通信开销,这在集中式检测机制中是一个问题,因为它们需要集中收集所有流进行分析。此外,DiCoTraM的集中协调结构消除了路由器之间的冗余流量监控。我们模拟并比较了DiCoTraM与其他流量监控机制:总体流量覆盖范围和DDoS洪水攻击流量覆盖范围。实验结果表明,与其他监控机制相比,DiCoTraM能够覆盖更多的DDoS flood攻击流,具有合理的整体流量覆盖。
DiCoTraM: A distributed and coordinated DDoS flooding attack tailored traffic monitoring
The success in detecting Distributed Denial of Service (DDoS) flooding attacks is highly dependent on the quality and quantity of the covered flows by the traffic monitoring mechanism that is employed in any DDoS defense mechanism. In this paper, we propose DiCoTraM, a DDoS flooding attack tailored distributed and coordinated traffic monitoring mechanism that centrally and periodically coordinates the monitoring responsibilities and distributes them among all the monitoring devices within each autonomous system (AS) while satisfying the monitoring devices' memory constraints. DiCoTraM monitors traffic flows in such a way that the flows intended for the same destination (possible network/transport level DDoS flooding attack flows) are analyzed together in the same monitoring device if there is enough memory to cover those flows on the monitoring device; hence, this can enable distributed detection mechanisms in place to analyze the monitored flows. The enabled distributed detection leads to reduced communication overhead that is a problem in centralized detection mechanisms as they need to collect centrally all the flows for analysis. Moreover, the centralized coordination structure of DiCoTraM eliminates the redundant flow monitoring among the routers. We simulate and compare DiCoTraM with other traffic monitoring mechanisms in terms of: the overall flow coverage, and the DDoS flooding attack flow coverage. The experimental results show that DiCoTraM, compared to other monitoring mechanisms, covers more DDoS flooding attack flows and it has reasonable overall flow coverage.