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Analysis and Presentation of Distributed Sensor Data for Network Intrusion Detection

机译:网络入侵检测分布式传感器数据的分析与呈现

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Distributed network intrusion detection systems which incorporate tens, hundreds, even thousands, of sensors are becoming increasing popular. Managing and presenting the information from these sensors is becoming an increasingly difficult task. The paper explores the use of Conversation Exchange Dynamics (CED) to integrate and display sensor information from multiple nodes. We present an experimental setup consisting of multiple sensors reporting individual findings to a central server for aggregated analysis. Different scenarios of network attacks and intrusions were planned to investigate the effectiveness of the distributed system. The network attacks were taken from the M.I.T Lincoln Lab 1999 Data Sets. The distributed system was subjected to different combinations of network attacks in various parts of the network. The results were then analyzed to understand the behavior of the distributed system in response to the different attacks. In general, the distributed system detected all attacks under each scenario. Some surprising observations also indicated attack responses occurring in unanticipated scenarios.
机译:包含数十,数百,甚至数千个传感器的分布式网络入侵检测系统正在越来越流行。管理和呈现这些传感器的信息正在成为一个越来越艰巨的任务。该文件探讨了使用对话交换动态(CED)来集成和显示来自多个节点的传感器信息。我们提出了一个由多个传感器组成的实验设置,将个别查找报告给中央服务器进行聚合分析。计划探讨分布式系统的有效性的网络攻击和入侵的不同情景。网络攻击是从M.I.T LINCOLN LAB 1999数据集中获取的。分布式系统对网络的各个部分进行了不同的网络攻击组合。然后分析结果以了解分布式系统的行为响应于不同的攻击。通常,分布式系统在每个场景下检测到所有攻击。一些令人惊讶的观察也表明了在意外情况下发生的攻击响应。

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