发明申请
WO2019112994A1 USING MACHINE LEARNING IN AN INDUSTRIAL CONTROL NETWORK TO IMPROVE CYBERSECURITY OPERATIONS
审中-公开
基本信息:
- 专利标题： USING MACHINE LEARNING IN AN INDUSTRIAL CONTROL NETWORK TO IMPROVE CYBERSECURITY OPERATIONS
- 申请号：PCT/US2018/063737 申请日：2018-12-04
- 公开(公告)号：WO2019112994A1 公开(公告)日：2019-06-13
- 发明人： MCMURDIE, Kevin , GADHE, Ganesh P.
- 申请人： HONEYWELL INTERNATIONAL INC.
- 申请人地址： Intellectual Property – Patent Services 115 Tabor Road, M/S 4D3 P.O. Box 377 Morris Plains, New Jersey 07950 US
- 专利权人： HONEYWELL INTERNATIONAL INC.
- 当前专利权人： HONEYWELL INTERNATIONAL INC.
- 当前专利权人地址： Intellectual Property – Patent Services 115 Tabor Road, M/S 4D3 P.O. Box 377 Morris Plains, New Jersey 07950 US
- 代理机构： BENINATI, John F.
- 优先权： US15/830,299 20171204
- 主分类号： H04L29/06
- IPC分类号： H04L29/06 ; G06F21/57 ; G05B19/418
摘要：
This disclosure provides a security system (154) and method for using machine learning to improve cybersecurity operations in an industrial control networks (100) and other systems. A method includes collecting (302), by a security system (154), current process information (182) for a plurality of processes in a control system (100). The method includes analyzing (308), by the security system (154), the current process information (182) according to one or more process models (106). The method includes producing (310), by the security system (154) and according to the analysis, a risk report (188) that identifies an abnormal process among the plurality of processes.