CPC H04L 63/1425 (2013.01) [G06F 16/90344 (2019.01); G06F 40/289 (2020.01); H04L 67/146 (2013.01); H04L 67/01 (2022.05)] | 18 Claims |
1. A network anomaly data detection method, comprising:
receiving access request data transmitted by a client;
searching historical access request data corresponding to a user session identifier in the access request data;
acquiring a header character string of the access request data;
performing word segmentation processing on the header character string according to a preset step length so as to obtain a word segmentation set;
obtaining a word segmentation weight matrix according to the historical access request data and the word segmentation set;
inputting the word segmentation weight matrix into an anomaly data detection model so as to obtain a data anomaly probability;
judging whether anomaly data exists in the header character string according to the data anomaly probability; and
correcting an initial anomaly data detection model in response.
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