US 11,683,330 B2
Network anomaly data detection method and device as well as computer equipment and storage medium
Shenglong Zhou, Guangdong (CN)
Assigned to PING AN TECHNOLOGY (SHENZHEN) CO., LTD., Shenzhen (CN)
Appl. No. 16/960,031
Filed by PING AN TECHNOLOGY (SHENZHEN) CO., LTD., Guangdong (CN)
PCT Filed May 28, 2018, PCT No. PCT/CN2018/088709
§ 371(c)(1), (2) Date Jul. 3, 2020,
PCT Pub. No. WO2019/134334, PCT Pub. Date Jul. 11, 2019.
Claims priority of application No. 201810008923.X (CN), filed on Jan. 4, 2018.
Prior Publication US 2021/0067533 A1, Mar. 4, 2021
Int. Cl. H04L 9/40 (2022.01); G06F 16/903 (2019.01); H04L 67/146 (2022.01); G06F 40/289 (2020.01); H04L 67/01 (2022.01)
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
OG exemplary drawing
 
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.