Papers

Peer-reviewed
2014

Development of CAD for Zone Dividing of Process Control Networks to Improve Cyber Security

2014 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2014)
  • Hiroki Moritani
  • ,
  • Shuichi Yogo
  • ,
  • Takahito Morita
  • ,
  • Midori Kojima
  • ,
  • Kento Watanabe
  • ,
  • Jing Sun
  • ,
  • Ichiro Koshijima
  • ,
  • Yoshihiro Hashimoto

First page
1311
Last page
1316
Language
English
Publishing type
Research paper (international conference proceedings)
DOI
10.1109/ICCAS.2014.6987759
Publisher
IEEE

Recently, cyber security becomes a serious problem for not only OA (Office Automation) systems but also PA (Process Automation) and FA (Factory Automation) systems. Even the controllers, which are not connected to Internet directly, have been attacked with malwares, such as Stuxnet and Quantum. When control system fails, it may lead to serious accidents such as explosion or leakage of poisonous and deleterious substances. For process control, cyber-attack is one of the causes to threaten safety. The authors of this paper had proposed zone division of process control networks to ensure cyber security and safety. To apply the method, it is necessary to build CE (Cause Effect) matrices which express the qualitative information of the plant and controllers. It is very troublesome for large-scale plants. CAD (Computer Aided Design) tool for zone dividing is proposed in this paper. CE matrices are generated by using DAE (Differential and Algebraic Equation) registered in equipment modules of plant CAD such as ASPEN or Pro II. The candidates of zone division of process control networks, which can assure the safety against concealment and remote operation by cyber attackers, can be proposed.

Link information
DOI
https://doi.org/10.1109/ICCAS.2014.6987759
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000392834400255&DestApp=WOS_CPL
URL
http://id.nii.ac.jp/1476/00005958/
ID information
  • DOI : 10.1109/ICCAS.2014.6987759
  • ISSN : 2093-7121
  • Web of Science ID : WOS:000392834400255

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