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Zhang, Y, Ge, Y, Yu, P, Zhang, J, Zhang, Y and Baker, T (2020) A Novel Method to Prevent Misconfigurations of Industrial Automation and Control Systems. IEEE Transactions on Industrial Informatics. ISSN 1551-3203
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Abstract
Configuration errors are among the dominant causes of system faults for the industrial automation and control systems (IACS). It is difficult to detect and correct such errors of IACS as there are various kinds of systems and devices with miscellaneous configuration specifications. In this paper, we first propose a streaming algorithm to keep all the configuration changes in the limited memory space. And, when making a new configuration change, another novel streaming algorithm is proposed to search and return all the similar historical changes which can be used to validate this new one. So far, we are the first to model the configuration changes of IACS as a data stream and apply the streaming similarity search in correcting configuration errors while overcoming the inherent unbounded-memory bottleneck. The theoretical correctness and complexity analyses are presented. Experiments with real and synthetic datasets confirm the theoretical analyses and demonstrate the effectiveness of the proposed method in preventing misconfigurations of IACS.
| Item Type: | Article |
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| Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Uncontrolled Keywords: | 08 Information and Computing Sciences, 09 Engineering, 10 Technology |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Date Deposited: | 25 Aug 2020 08:21 |
| Last Modified: | 04 Sep 2021 06:47 |
| DOI or ID number: | 10.1109/TII.2020.3017754 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/13537 |
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