Abstract
Monitoring of industrial cyber-physical systems (CPS) is an ongoing process necessary to ensure their security. The effectiveness of information security monitoring depends on the quality and speed of collection, processing, and analyzing of heterogeneous CPS data. Today, there are many methods of analysis for solving security problems of distributed industrial CPS. These methods have different requirements for the input data characteristics, but there are common features in them due to the subject area. The work is devoted to preliminary data processing for the security monitoring of industrial CPS in modern conditions. The general architecture defines the use of aggregation and normalization methods for data preprocessing. The work includes the issue from the requirements for the preprocessing system, the specifics of the subject area, to the general architecture and specific methods of multidimensional data aggregation.
Highlights
The modern economy requires stability and efficiency of enterprises, and a high degree of modern information technologies application
Protection of industrial systems is impossible without an effective solution to the monitoring problem, in order to detect intrusions into the CPS, register anomalies of processes taking into account possible malicious impact and distortion of recorded data, analyze threats and investigate security incidents [3]
The work is devoted to preliminary data processing in industrial cyber-physical systems security monitoring to ensure data completeness and timeliness, taking into account the main mathematical analysis methods used in solving problems of intrusion detection and anomalies of controlled processes
Summary
The modern economy requires stability and efficiency of enterprises, and a high degree of modern information technologies application In developed complexes, they cover all areas of activity, from basic actions and control of physical processes to the corporate and business segments. Protection of industrial systems is impossible without an effective solution to the monitoring problem, in order to detect intrusions into the CPS, register anomalies of processes taking into account possible malicious impact and distortion of recorded data, analyze threats and investigate security incidents [3]. The work is devoted to preliminary data processing in industrial cyber-physical systems security monitoring to ensure data completeness and timeliness, taking into account the main mathematical analysis methods used in solving problems of intrusion detection and anomalies of controlled processes
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