Abstract
This paper describes the modeling of the industrial Internet-of-Things network for further exploration of its security properties. The goal is to increase the security of process control systems for industrial facilities based on the development of conceptual foundations, methodology, mathematical models, methods and software tools for comprehensive analysis and cyber security risk management of process control systems for industrial facilities using cognitive modeling technology and data mining. One specific task is modeling DLT implementation for industrial network. Common structure of the proposed modeling network is described. Example of smart contracts for the distributed ledger are presented. Performance of lightweight implementations for ciphers and hash functions are given.
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