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Athena: A Framework for Scalable Anomaly Detection in Software-Defined Networks

机译:雅典娜:软件定义网络中可伸缩异常检测的框架

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Network-based anomaly detection is a well-mined area of research, with many projects that have produced algorithms to detect suspicious and anomalous activities at strategic points in a network. In this paper, we examine how to integrate an anomaly detection development framework into existing software-defined network (SDN) infrastructures to support sophisticated anomaly detection services across the entire network data plane, not just at network egress boundaries. We present Athena as a new SDN-based software solution that exports a well-structured development interface and provides general purpose functions for rapidly synthesizing a wide range of anomaly detection services and network monitoring functions with minimal programming effort. Athena is a fully distributed application hosting architecture, enabling a unique degree of scalability from prior SDN security monitoring and analysis projects. We discuss example use-case scenarios with Athena's development libraries, and evaluate system performance with respect to usability, scalability, and overhead in real world environments.
机译:基于网络的异常检测是研究的重点领域,许多项目已生成算法来检测网络中战略要点的可疑和异常活动。在本文中,我们研究如何将异常检测开发框架集成到现有的软件定义网络(SDN)基础结构中,以支持跨整个网络数据平面(而不仅仅是在网络出口边界)的复杂异常检测服务。我们将Athena展示为一种基于SDN的新软件解决方案,该解决方案可导出结构良好的开发界面并提供通用功能,以最少的编程工作即可快速综合各种异常检测服务和网络监控功能。 Athena是一个完全分布式的应用程序托管体系结构,可从以前的SDN安全监视和分析项目中实现独特程度的可伸缩性。我们将与Athena的开发库一起讨论示例用例场景,并针对现实环境中的可用性,可伸缩性和开销评估系统性能。

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