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SYSTEM AND METHOD OF DETECTING HACKING ACTIVITIES DURING THE INTERACTION OF USERS WITH BANKING SERVICES

机译:在银行服务互动期间检测黑客活动的系统和方法

摘要

An example of a method for detecting hacking activities includes categorizing a plurality of web pages of a web site providing bank services using a trained semantic model. The trained semantic model uses at least one resource identifier of a web page as an input and generates a web page category as an output. One or more attributes of an interaction between a user and bank services are identified. The one or more identified attributes are analyzed by comparing the one or more identified attributes with attributes known to belong to hacking interactions based on a corresponding web page category. Hacking activity is identified based on the results of the analysis.
机译:用于检测黑客活动的方法的示例包括使用培训的语义模型对提供银行服务的网站的多个网页进行分类。 训练有素的语义模型使用网页的至少一个资源标识符作为输入,并将网页类别作为输出生成。 识别用户和银行服务之间的交互的一个或多个属性。 通过比较已知属性属性的一个或多个识别的属性来分析一个或多个所识别的属性,该属性基于相应的网页类别将属于黑客交互。 根据分析结果确定黑客活动。

著录项

  • 公开/公告号US2021264059A1

    专利类型

  • 公开/公告日2021-08-26

    原文格式PDF

  • 申请/专利权人 AO KASPERSKY LAB;

    申请/专利号US202017108435

  • 发明设计人 SERGEY N. IVANOV;

    申请日2020-12-01

  • 分类号G06F21/62;G06F21/55;G06F40/30;

  • 国家 US

  • 入库时间 2022-08-24 20:48:00

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