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Systems and methods for improving forest-based malware detection within an organization

机译:用于改善组织内基于林的恶意软件检测的系统和方法

摘要

The disclosed computer-implemented method for improving forest-based malware detection within an organization may include (i) receiving, at a backend computing system, organization data from at least one organization computing device within an organization computer network, (ii) adjusting, at the backend computing system, a general use forest model based on the organization data to generate an organization-specific forest model for detecting malicious computer files within the organization computer network, and (iii) sending, from the backend computing system, the organization-specific forest model to the at least one organization computing device. Various other methods, systems, and computer-readable media are also disclosed.
机译:用于改善组织内基于森林的恶意软件检测的所公开的计算机实现的方法可以包括:(i)在后端计算系统处从组织计算机网络内的至少一个组织计算设备接收组织数据,(ii)在以下位置进行调整:后端计算系统,一种基于组织数据的通用森林模型,以生成特定于组织的森林模型,以检测组织计算机网络内的恶意计算机文件,以及(iii)从后端计算系统发送特定于组织的森林模型至少一个组织计算设备的森林模型。还公开了各种其他方法,系统和计算机可读介质。

著录项

  • 公开/公告号US9942264B1

    专利类型

  • 公开/公告日2018-04-10

    原文格式PDF

  • 申请/专利权人 SYMANTEC CORPORATION;

    申请/专利号US201615381140

  • 发明设计人 MARK KENNEDY;PIETER VILJOEN;

    申请日2016-12-16

  • 分类号H04L29/06;H04L12/24;

  • 国家 US

  • 入库时间 2022-08-21 12:54:36

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