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The research on consistency of Space/Time of IDS

机译:IDS时空一致性研究

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摘要

A method of Intrude Detection based on Data Fusion is introduced and a new mechanism -DFIDM has been presented in the paper. We focus in consistency of Space/Time during data collecting and object collecting. Multisensor will collect data such as log file, information of Network Traffics and data packets of network based on this mechanism. First, these data will be sent to local decision-maker to be judged, and then calibrated after Data collecting and object collecting period. At last, it will be transferred to the fusion center for decision-making. As result of the experiment shown in the paper, the mechanism can improve the performance of IDS.
机译:介绍了一种基于数据融合的入侵检测方法,并提出了一种新的机制-DFIDM。在数据收集和对象收集过程中,我们注重空间/时间的一致性。多传感器将基于此机制收集日志文件,网络流量信息和网络数据包等数据。首先,将这些数据发送给本地决策者进行判断,然后在数据收集和对象收集期过后进行校准。最后,将其转移到融合中心进行决策。作为本文所示实验的结果,该机制可以提高IDS的性能。

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