An Approach to Classification of the Information Security State of Elements of Cyber-Physical Systems Using Side Electromagnetic Radiation

  • Viktor Semenov
  • Mikhail SukhoparovEmail author
  • Ilya Lebedev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)


The paper deals with problematic issues of information security in cyber-physical systems. Performance analysis of autonomous objects has been carried out. An information security monitoring system model based on the characteristics resulting from the analysis of electromagnetic radiation from electronic components in standalone devices of cyber-physical systems is presented. A typical scheme for determining the state of a system is shown. Due to the features of equipment sustaining the infrastructure, assessment of an information security state is aimed at analyzing normal system operation rather than searching for signatures and characteristics of anomalies during various types of information attacks. An experiment that provides statistical information on the operation of remote devices of cyber-physical systems has been disclosed, whereby data for decision-making are accumulated by comparing statistical information. The experimental results on information influence on a typical system are presented. The proposed approach for analyzing statistical data of standalone devices based on a naive Bayesian classifier can be used to determine information security states. A special feature of the approach is the ability to rapid adaptation and application of various mathematical tools and machine learning methods to achieve a desired quality of probabilistic evaluation.

Implementation of this type of monitoring does not require a development of complex system applications while allowing implementation of various architectures for system construction that are capable of processing on-board an autonomous object or of communicating data and calculating the state on external computer nodes of monitoring and control systems.


Information security Cyber-physical systems Information security monitoring systems 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Viktor Semenov
    • 1
    • 2
  • Mikhail Sukhoparov
    • 3
    Email author
  • Ilya Lebedev
    • 2
  1. 1.ITMO UniversitySaint PetersburgRussia
  2. 2.SPIIRASSaint PetersburgRussia
  3. 3.SPbF AO «NPK «TRISTAN»Saint PetersburgRussia

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