- 专利标题: Learning method and system for separating independent and dependent attacks
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申请号: US15977558申请日: 2018-05-11
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公开(公告)号: US10785237B2公开(公告)日: 2020-09-22
- 发明人: Lalit Keshav Mestha , Masoud Abbaszadeh , Annarita Giani
- 申请人: General Electric Company
- 申请人地址: US NY Schenectady
- 专利权人: General Electric Company
- 当前专利权人: General Electric Company
- 当前专利权人地址: US NY Schenectady
- 代理机构: Buckley, Maschoff & Talwalkar LLC
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; G06N7/00 ; G06K9/62
摘要:
Streams of monitoring node signal values over time, representing a current operation of the industrial asset, are used to generate current monitoring node feature vectors. Each feature vector is compared with a corresponding decision boundary separating normal from abnormal states. When a first monitoring node passes a corresponding decision boundary, an attack is detected and classified as an independent attack. When a second monitoring node passes a decision boundary, an attack is detected and a first decision is generated based on a first set of inputs indicating if the attack is independent/dependent. From the beginning of the attack on the second monitoring node until a final time, the first decision is updated as new signal values are received for the second monitoring node. When the final time is reached, a second decision is generated based on a second set of inputs indicating if the attack is independent/dependent.
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