Invention Grant
- Patent Title: Machine learning based intrusion detection system for mission critical systems
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Application No.: US16570386Application Date: 2019-09-13
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Publication No.: US11621970B2Publication Date: 2023-04-04
- Inventor: Tamer Soliman
- Applicant: iS5 Communications Inc.
- Applicant Address: CA Mississauga
- Assignee: iS5 Communications Inc.
- Current Assignee: iS5 Communications Inc.
- Current Assignee Address: CA Mississauga
- Agency: Fasken Martineau DuMoulin LLP
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06N3/04 ; G06N3/08

Abstract:
The present invention is generally directed to the detection of an intrusion event in a computer network and a control network. More particularly, the present invention provides a system, framework, architecture, etc. for intrusion detection functions for network elements and control elements used in high demand and/or mission critical environments, including, but not limited to, power stations, sub-stations, intelligent transportation systems (ITS), rail, traffic control systems, chemical, oil & gas, critical manufacturing, and industrial applications.
Public/Granted literature
- US20210084058A1 MACHINE LEARNING BASED INTRUSION DETECTION SYSTEM FOR MISSION CRITICAL SYSTEMS Public/Granted day:2021-03-18
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