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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jian Guan Graham, J.H. Hieb, J.L. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Engineering Fundamentals, University of Louisville, KY USA (Hieb, J.L.) || Dept.of Electrical and Computer Engineering, University of Louisville, KY USA (Graham, J.H.) || Department of Computer Information Systems, University of Louisville, KY USA (Jian Guan) |
| Abstract | Supervisory control and data acquisition (SCADA) systems are critical to today's industrial facilities and infrastructures. SCADA systems have evolved into large and complex networks of information systems and are increasingly vulnerable to various types of cyber-security risks. Identifying and managing risks in SCADA systems has become critical in ensuring the safety and reliability of these facilities and infrastructures. Most of the existing research on SCADA risk modeling and management has focused on probability-based or quantitative approaches. While probabilistic approaches have proven to be useful, they also suffer from common problems such as simplifying assumptions, large implementation costs, and inability to completely capture all the important aspects of risk. This paper proposes a digraph model for SCADA systems that allows formal, explicit representation of a SCADA system. A number of risk management methods are presented and discussed for a SCADA system based on the proposed model. The methods are applied to a chemical distillation application as a case study, and shows promising initial results in identifying areas of system vulnerability. |
| Starting Page | 150 |
| Ending Page | 155 |
| File Size | 1518799 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457700828 |
| e-ISBN | 9781457700859 |
| DOI | 10.1109/ISI.2011.5983990 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wide area networks Control Systems SCADA systems Supervisory Control and Data Acquisition Internet Reliability Risk Management |
| Content Type | Text |
| Resource Type | Article |
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