Intelligent integrity monitoring system for technological process data

• Published in: Journal of physics. Conference series 2019-11, Vol.1368 (5), p.52029
• Main Authors: Arpishkin, M I, Vulfin, A M, Vasilyev, V I, Nikonov, A V
• Format: Article
• Language: English
• Subjects: Algorithms; Automatic control; Automation; Clustering; Control systems; Information systems; Integrity; Monitoring; Monitoring systems; Neural networks; Physics; Process controls; Segmentation; Telemetry; Time series
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1368/5/052029

The relevance of the work is due to the widespread use of network telecommunications in the automated process control system and the high level of danger of replacing, distorting or losing accumulated data on the process progress as a result of the attacker's influence. Objective: increasing the security of measurement results from unauthorized modification in the databases of information systems of an industrial enterprise by improving process monitoring system based on the intellectual analysis of technological time series. A structural scheme of process monitoring as part of an information protection system in a segment of an automated process control system network has been developed. The algorithm of intellectual analysis of technological time series in the task of detecting violation of the integrity of data on the process progress due to their unauthorized modification was proposed. Evaluated the effectiveness of the proposed solution on field data. Keywords: Monitoring of the technological process, analysis of technological time series, integrity of accumulated telemetry data, neural network model of adaptive segmentation, clustering of technological events.