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PROVIDING USER-SPECIFIC MALWARE ASSESSMENT BASED ON SOCIAL INTERACTIONS

机译:根据社交互动提供用户特定的恶意软件评估

摘要

Embodiments are directed to determining a risk of encountering malware based on social context to determining malware threats based on social associations and to ranking antimalware programs according to the program s ability to protect against specific threats. In one scenario a computer system receives a malware notification associated with a user that identifies a type of malware encountered by the user. The computer system identifies various persons that are part of a social group associated with the user and determines that at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware based on information derived from identifying the persons that are part of the social group. Optionally the computer system notifies the identified persons of the increased likelihood of encountering the identified type of malware.
机译:实施例涉及基于社交上下文确定遇到恶意软件的风险,基于社交关联确定恶意软件威胁以及根据程序防御特定威胁的能力对反恶意软件程序进行排名。在一种情况下,计算机系统接收与用户相关联的恶意软件通知,该恶意软件通知标识用户遇到的恶意软件的类型。所述计算机系统基于从识别所述人物而得出的信息,识别作为与所述用户关联的社交团体的一部分的各种人物,并且确定与所述用户关联的所识别的人物中的至少一个人遇到所识别的恶意软件的可能性增加。是社会团体的一部分。可选地,计算机系统通知被识别人员遇到被识别类型的恶意软件的可能性增加。

著录项

  • 公开/公告号IN2015CN07890A

    专利类型

  • 公开/公告日2016-08-26

    原文格式PDF

  • 申请/专利权人

    申请/专利号IN7890/CHENP/2015

  • 申请日2015-12-21

  • 分类号H04L29/06;

  • 国家 IN

  • 入库时间 2022-08-21 14:25:09

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