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Patent Searching and Data


Title:
ANOMALY DETECTION METHOD AND SYSTEM FOR MOBILE DEVICE, ELECTRONIC DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/159768
Kind Code:
A1
Abstract:
The present application discloses an anomaly detection method and system for a mobile device, an electronic device, and a storage medium. The anomaly detection method for a mobile device comprises: obtaining a dynamic link library when a mobile device requests an application, and splitting up the dynamic link library to obtain a plurality of plug-in libraries; obtaining multiple pieces of feature information and first label data of each plug-in library, and inputting the feature information and the first label data into a support vector machine model to obtain risk scores of the plug-in libraries; obtaining weights for the plug-in libraries by means of Newton's law of cooling and according to the risk scores; performing weighting according to the weights for the plug-in libraries and the corresponding risk scores to obtain a dynamic link library score; and determining whether the corresponding mobile device is an anomalous device according to the dynamic link library score. It is not necessary to depend on a blacklist when performing detection on a mobile device, anomalous device detection coverage can be improved on the basis of identification and detection of a plug-in library, and anomaly detection efficiency is improved.

Inventors:
ZHOU QUAN (CN)
WANG WENBIN (CN)
GUO YUQIAO (CN)
CHEN LIANGHUA (CN)
Application Number:
PCT/CN2022/090759
Publication Date:
August 31, 2023
Filing Date:
April 29, 2022
Export Citation:
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F9/445; G06F11/34
Foreign References:
CN112214768A2021-01-12
CN113609478A2021-11-05
CN109063481A2018-12-21
US20210097178A12021-04-01
US20210352097A12021-11-11
Attorney, Agent or Firm:
JIAQUAN IP LAW (CN)
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