Traffic data anomaly detection method and device
A technology for traffic data and anomaly detection, applied in the field of neural networks, can solve problems such as affecting model identification and detection and inaccurate detection results, and achieve the effect of improving accuracy and efficiency
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Embodiment 1
[0042] like figure 1 As shown, this embodiment provides a method for abnormal detection of traffic data, including the following steps:
[0043] S1: Input the preprocessed traffic data into the automatic encoding network model to automatically encode and decode the traffic data to obtain the reconstructed feature vector.
[0044] Wherein, the flow data may include but not limited to financial transaction data and code flow data.
[0045]It should be noted that, in an application scenario, that is, when the traffic data includes financial transaction data, implementing a traffic data anomaly detection method disclosed in the embodiment of the present invention, compared with the traditional credit evaluation system based on big data , under the premise of ensuring the integrity of the data, complex high-dimensional data can be mapped to low-dimensional vectors through the automatic coding network model, and the correlation between the internal characteristics of financial tran...
Embodiment 2
[0088] like image 3 As shown, this embodiment provides an abnormality detection device for traffic data, including a reconstruction unit 301, a feature acquisition unit 302, and a classification unit 303, wherein:
[0089] A reconstruction unit 301, configured to input the preprocessed traffic data into the automatic encoding network model, so as to automatically encode and decode the traffic data to obtain a reconstructed feature vector;
[0090] A feature acquisition unit 302, configured to input the reconstructed feature vector into the cyclic neural network model to obtain internal feature information; the internal feature information is used to represent the front-back correlation of the internal features of the traffic data;
[0091] The classification unit 303 is configured to classify the internal feature information through a Sigmoid function to obtain a binary classification result; the binary classification result is used to represent whether the traffic data is ab...
Embodiment 3
[0099] like Figure 4 As shown, this embodiment provides an electronic device, including:
[0100] A memory 401 storing executable program codes;
[0101] a processor 402 coupled to the memory 401;
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