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Enriching DNS Flows with Host-Based Events to Bypass Future Protocol Encryption

机译:丰富DNS使用基于主机的事件来绕过未来协议加密

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Monitoring of host-based events and network flows are the two most common techniques for collecting and analyzing cybersecurity data. However, events and flows are either monitored separately or correlated as alerts in higher aggregated forms. The event-flow correlation on the monitoring level would match related events and flows together and enabled observing both data in near real-time. This approach allows substituting application-level flow information that will not be available due to encryption, which is being employed in a number of communication protocols. In this paper, we performed the event-flow correlation of the DNS protocol. We developed a general model that describes the relation between events and flows to enable an accurate time-based correlation where parameter-based correlation is not feasible. Based on the model, we designed three event-flow correlation methods based on common parameters and times of occurrence. We evaluated the correlation methods using a recent and public dataset, both with and without the extended flow information, to simulate DNS flow encryption. The results of the method combining parameter-based and time-based matching show that matching related DNS events to flows is possible and substitutes the data that might soon be lost in encryption.
机译:监控基于主机的事件和网络流是用于收集和分析网络安全数据的两个最常用技术。但是,事件和流程要么单独监视,也可以作为更高的聚合表格的警报相关联。监视级别的事件流相关性会将相关事件和流量匹配,并在近实时启用两个数据。这种方法允许代替由于加密而无法使用的应用程序级流信息,这在许多通信协议中采用。在本文中,我们执行了DNS协议的事件流相关。我们开发了一种概述,描述事件与流程之间的关系,以实现基于参数的相关性不可行的基于基于时间的基于时间的相关性。基于该模型,我们设计了基于公共参数的三种事件流相关方法和出现的次数。我们使用近期和公共数据集进行了评估了相关方法,无论是频繁的流量信息,都没有延长的流信息,以模拟DNS流加密。组合基于参数和时间的匹配的方法的结果可以匹配与流动的相关的DNS事件,并替换可能很快在加密中丢失的数据。

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