AI Methods for Neutralizing Cyber Threats at Unmanned Vehicular Ecosystem of Smart City

Maxim Kalinin (), Vasiliy Krundyshev () and Dmitry Zegzhda ()
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Maxim Kalinin: Peter the Great St.Petersburg Polytechnic University
Vasiliy Krundyshev: Peter the Great St.Petersburg Polytechnic University
Dmitry Zegzhda: Peter the Great St.Petersburg Polytechnic University

A chapter in The Economics of Digital Transformation, 2021, pp 157-171 from Springer

Abstract: Abstract Due to the increased mobility of the infrastructural topology and the growing amount of data being processed, traditional protection methods become ineffective. Security weaknesses cause disruption of control, malfunction of transportation, the occurrence of smart building equipment failures, traffic jams, etc. New methods to ensure cyber security for new digital platforms are required. The article analyzes the existing approaches to ensuring cyber security in modern dynamic networks and revealed their main advantages and disadvantages. The authors propose the application of new AI methods (swarm algorithms and neural networks) to ensure the security of the network in the infrastructure of the intelligent transport system (ITS) a sample of new digital platforms. The paper assesses the possibility of their use for preventing cyber threats in the digital infrastructures of V2X. The results of experiments to assess the effectiveness of the proposed approach, obtained using supercomputer modeling are given. The achievements are ready for application in other smart environments: IoT, IIoT, WSN, mesh networks, and m2m-networks.

Keywords: Artificial intelligence; Cyber security; Digital platform; Intrusion detection (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:seschp:978-3-030-59959-1_10

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DOI: 10.1007/978-3-030-59959-1_10

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