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1. 发明申请

US20140075574A1 API MONITORING METHOD AND DEVICE THEREFOR 审中-公开
标题翻译： API监控方法及其设备
公开(公告)号：US20140075574A1
公开(公告)日：2014-03-13
申请号：US14079584
申请日：2013-11-13
申请人： Tencent Technology (Shenzhen) Company Limited
发明人： Xing ZHENG , Jiahui Liang , Wenliang Tang , Danhua Li
IPC分类号： G06F21/31
CPC分类号： G06F21/31 , G06F21/604 , G06F21/6245
摘要： Embodiments of the present invention provide an API monitoring method and device. The API monitoring method includes steps such as identifying a plurality of APIs as privacy-sensitive APIs; in response to detecting an invocation of one of the privacy-sensitive API by an application, determining whether the invoked API and the application satisfy a predefined condition; and if the invoked API and the application satisfy the predefined condition, suspending the invocation of the API by the application, displaying a message, wherein the message indicates that the application attempts to invoke the privacy-sensitive API; and determining whether or not to resume the invocation of the API based on a user response to the message. The device may be used to carry out the method.
摘要翻译：本发明的实施例提供了一种API监视方法和装置。 API监控方法包括将多个API识别为隐私敏感API的步骤; 响应于检测应用程序对隐私敏感API之一的调用，确定所调用的API和应用是否满足预定义的条件; 并且如果所述被调用的API和所述应用满足所述预定义条件，则由所述应用暂停所述API的调用，显示消息，其中所述消息指示所述应用尝试调用所述隐私敏感的API; 以及基于对所述消息的用户响应来确定是否恢复所述API的调用。该装置可用于执行该方法。

2. 发明申请

US20230089187A1 DETECTING ABNORMAL PACKET TRAFFIC USING FINGERPRINTS FOR PLURAL PROTOCOL TYPES 有权
公开(公告)号：US20230089187A1
公开(公告)日：2023-03-23
申请号：US17994944
申请日：2022-11-28
申请人： Tencent Technology (Shenzhen) Company Limited
发明人： Jing PENG , Yong YANG , Xiang GAN , Xing ZHENG , Aisi XU , Shanshan HUA , Jing GUO , You CHANG , Yuhe FAN , Wentao TANG , Junli SHEN , Shu HE , Yue WANG , Yu LIU
IPC分类号： H04L9/40
摘要： A method for detecting abnormal network data includes performing feature extraction on a network data packet according to each of plural protocol types, and generating a corresponding data packet fingerprint set. The data packet fingerprint set includes one or more data packet fingerprints, each of the one or more data packet fingerprints corresponding to one of the plural protocol types. The method further includes matching at least one data packet fingerprint in the data packet fingerprint set and a reference data packet fingerprint in a reference data packet fingerprint library, and calculating a confidence corresponding to the network data packet based on confidence correlation information corresponding to each of the at least one matched data packet fingerprint. The method also includes obtaining a reference confidence, and determining an abnormality detection result of the network data packet based on the reference confidence and the calculated confidence.

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