Application of Bayesian Network Methodology for Evaluating Industrial Control System | Zendy

Jinsoo Shin | Zendy; Hanseong Son | Zendy; Soonghon Kim | Zendy; Gyunyoung Heo | Zendy

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Application of Bayesian Network Methodology for Evaluating Industrial Control System

Author(s) -

Jinsoo Shin,

Hanseong Son,

Soonghon Kim,

Gyunyoung Heo

Publication year - 2014

Publication title -

international journal of control and automation

Language(s) - English

Resource type - Journals

eISSN - 2207-6387

pISSN - 2005-4297

DOI - 10.14257/ijca.2014.7.3.18

Subject(s) - bayesian network , computer science , bayesian probability , control (management) , industrial engineering , artificial intelligence , machine learning , engineering

Development in technology introduces novel kind of issues like cost optimization, system safety and cyber-attack. In order to solve these issues, sufficient information is needed but generally there is lack of information. We introduce the Bayesian network that is one of the most popular probabilistic methodologies to overcome the limitation of the issues. This paper presents two Bayesian network models related to system optimization and cyber security for specific industry control system to prepare the mobile environment.

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