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Method and apparatus to detect non-human users on computer systems

机译:在计算机系统上检测非人类用户的方法和装置

摘要

Methods and systems for malicious non-human user detection on computing devices are described. The method includes collecting, by a processing device, raw data corresponding to a user action, converting, by the processing device, the raw data to features, wherein the features represent characteristics of a human user or a malicious code acting as if it were the human user, and comparing, by the processing device, at least one of the features against a corresponding portion of a characteristic model to differentiate the human user from the malicious code acting as if it were the human user.
机译:描述了用于在计算设备上恶意非人类用户检测的方法和系统。该方法包括:由处理设备收集与用户动作相对应的原始数据,由处理设备将原始数据转换为特征,其中,特征表示人类用户的特征或恶意代码的行为,就像是人类用户,并通过处理设备将特征中的至少一个与特征模型的对应部分进行比较,以区分人类用户与充当人类用户的恶意代码。

著录项

  • 公开/公告号US2020314132A1

    专利类型

  • 公开/公告日2020-10-01

    原文格式PDF

  • 申请/专利权人 AKAMAI TECHNOLOGIES INC.;

    申请/专利号US202016902278

  • 发明设计人 SREENATH KURUPATI;

    申请日2020-06-16

  • 分类号H04L29/06;

  • 国家 US

  • 入库时间 2022-08-21 11:21:56

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