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articles

Authors: Gumerov E. A., Alekseeva T. V.     Published in № 5(95) 31 october 2021 year
Rubric: Performance management

Development of the blockchain architecture of the Industrial Internet of Things system of the enterprise

The development of the digital economy in the modern world requires solving the issue of security of Industrial Internet of Things (IIoT) applications. A large number of distributed, network-based, IIoT devices managed by intelligent programs (software agents) require protection. A successful attack on any IIoT device will lead to hacking of the IIoT application and to large financial losses, as well as to the termination of the IIoT application, therefore, the research topic is relevant. The purpose of this article is to radically solve the security problem of the IIoT application by developing a blockchain architecture of the application. The authors were tasked with investigating all aspects of the blockchain system that ensure the security of IIoT application devices. The peculiarity of the blockchain system is that its participants are software agents that control the application devices. As a result of the research, the concept of the blockchain architecture of the IIoT application is proposed. He mechanisms of consensus of intelligent programs of IIoT devices as equal active participants of the blockchain network are investigated. The consensus mechanism and the cryptographic system of the distributed registry of the blockchain network increase the information security of the IIoT application. The synergistic effect of the blockchain system and intelligent systems of software agents of IIoT application devices significantly increases the efficiency of the solution. Intelligent systems of software agents and IIoT applications are effectively trained on the blockchain platform, and as a result, we get a decentralized supercomputer in the form of a blockchain system.

Key words

blockchain system, Industrial Internet of Things, information security, intelligent data processing system, intelligent attack recognition system, distributed computing, distributed control

The author:

Gumerov E. A.

Degree:

Cand. Sci, (Eng.), Associate Professor, Department of Information management and information and communication technologies named after Professor V. V. Dik, Moscow University for Industry and Finance «Synergy»

Location:

Moscow, Russia

The author:

Alekseeva T. V.

Degree:

Associate Professor, Department of Information management and information and communication technologies named after Professor V. V. Dik, Moscow University for Industry and Finance «Synergy»

Location:

Moscow, Russia