Smart electric meter state abnormity detection method based on seasonal model time sequence
A smart meter and time series technology, applied in the direction of measuring devices, electrical components, measuring electrical variables, etc., can solve problems such as difficult to detect unknown new intrusion methods, and achieve the effect of improving security
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[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0032] A kind of abnormality detection method of smart meter state based on seasonal model time series of the present invention, such as figure 1 shown, including the following steps:
[0033] (1) Selected measure: The measure is selected based on the monitoring data of the meter system, such as figure 2 As shown, the selected metrics include the host's CPU utilization, number of processes, number of open ports, and network interface byte throughput. Each field needs to be collected through the Agent program installed on the host side of the smart meter.
[0034] (2) Training set establishment: In the training set establishment phase, when selecting the training data set, it is necessary to ensure that the smart meter must be controllable, so as to prevent the attack data from being used as training data under uncontrollable conditions. A...
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