Invention Grant
- Patent Title: Learning method and system for separating independent and dependent attacks
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Application No.: US15977558Application Date: 2018-05-11
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Publication No.: US10785237B2Publication Date: 2020-09-22
- Inventor: Lalit Keshav Mestha , Masoud Abbaszadeh , Annarita Giani
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N7/00 ; G06K9/62

Abstract:
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.
Public/Granted literature
- US20190230099A1 LEARNING METHOD AND SYSTEM FOR SEPARATING INDEPENDENT AND DEPENDENT ATTACKS Public/Granted day:2019-07-25
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