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The Estimation of Secure Condition of Multi-Agent Robotic System in Case of Information Influence on the Single Element

The purpose of the work is the development of an approach that uses the instrument of Markov chains estimating the safe condition of multi-agent robotic system undergoing the processes of data influence. Proposed models, methods and approaches are aimed at ensuring the protected state of the multi-a...

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Bibliographic Details
Published in:Proceedings of the XXth Conference of Open Innovations Association FRUCT 2015-04, Vol.388 (17), p.362-367
Main Authors: Igor' Zikratov, Ilja Lebedev, Viktoria Korzhuk
Format: Article
Language:English
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Summary:The purpose of the work is the development of an approach that uses the instrument of Markov chains estimating the safe condition of multi-agent robotic system undergoing the processes of data influence. Proposed models, methods and approaches are aimed at ensuring the protected state of the multi-agent robotic system in the situation of information impact. It is supposed that the change in the state of objects with information about the target location is described by the rules of group behavior. It is considered that the feature of the simulation is to assess the system state achievements of element affecting the information security accessibility index applied to multi-agent robotic systems. The application possibilities of the scientific tools of Markov process for modeling information influence on the decentralized multi-agent robotic system have been investigated. The formula dependence for the analytical modeling with the purpose of obtaining probabilistic values of the system safe condition is identified. The experiment is aimed at assessing the state of information security robotic system exposed to unauthorized effects giving the opportunity to compare the data. The obtained results can be widely used in solving practical problems associated with the analysis of information security of multi-agent robotic systems with self- organizing behavior.
ISSN:2305-7254
2343-0737