首页> 外国专利> DETECTING ZERO-DAY ATTACKS WITH UNKNOWN SIGNATURES VIA MINING CORRELATION IN BEHAVIORAL CHANGE OF ENTITIES OVER TIME

DETECTING ZERO-DAY ATTACKS WITH UNKNOWN SIGNATURES VIA MINING CORRELATION IN BEHAVIORAL CHANGE OF ENTITIES OVER TIME

机译:通过实体随时间变化的采矿关联来检测未知特征的零日攻击

摘要

Zero-day attacks with unknown attack signatures are detected by correlating behavior differences of a plurality of entities. An entity baseline behavior for each entity of the plurality of entities is determined 310, the entity baseline behavior includes multiple variables. An entity behavior difference for each entity is determined at a series of points in time 320. Correlations between the entity behavior differences for the plurality of entities are determined at the series of points in time 330. Based on these correlations, it is determined whether the plurality of entities is exhibiting coordinated behavior differences 340. An attack signature is determined based on the entity behavior differences and the correlations 350. A database of attack signatures is generated 360.
机译:通过关联多个实体的行为差异来检测具有未知攻击特征的零日攻击。在 310 中确定多个实体中的每个实体的实体基线行为,该实体基线行为包括多个变量。在 320 的一系列时间点确定每个实体的实体行为差异。在一系列时间点 330 中确定多个实体的实体行为差异之间的相关性。根据这些相关性,确定多个实体是否表现出协调的行为差异 340 。根据实体行为差异和相关性 350 确定攻击签名。在 360中生成攻击特征的数据库。

著录项

  • 公开/公告号US2020145455A1

    专利类型

  • 公开/公告日2020-05-07

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号US201816464779

  • 发明设计人 ANIMESH NANDI;

    申请日2018-06-28

  • 分类号H04L29/06;

  • 国家 US

  • 入库时间 2022-08-21 11:19:20

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