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Algorithm Determine Trust Value To The Distributed Information Systems Elements

Author

Listed:
  • Aleksei A. Sychugov

    (Department of Information Security, Tula State University, 92 Lenin Ave., Tula, Russian Federation)

  • Elvir M. Akhmetshin

    (Department of Economy and Management, Elabuga Institute of Kazan Federal University, 89 Kazanskaya Str., Elabuga, Russian Federation)

  • Vyacheslav M. Grishin

    (Department No.604 “System Analysis and Management”, Moscow Aviation Institute, 4 Volokolamskoe shosse, Moscow, Russian Federation)

  • Raisa N. Shpakova

    (Department of Regional Governance and National Policy, Moscow State Institute of International Relations (MGIMO), 76 Vernadsky Ave., Moscow, Russian Federation)

  • Andrei V. Plotnikov

    (Department of Management, Perm State Agro-Technological University named after Academician D.N. Pryanishnikov, 23 Petropavlovskaya Str., Perm, Russian Federation)

Abstract

In distributed information systems the owner of the information can make a decision only concerning the transfer of information to a particular DIS node for calculations and cannot control the security of information during its processing on the node. Thus, in this case there is a question of information owner’s trust to a specific DIS node. The authors describe an experiment conducted in order to verify the quality of approach, which allows evaluating the level of trust based on the featureless pattern recognition. The authors found that this algorithm will allow to prevent the transfer of confidential information on unreliable DIS elements, also it will require more careful attention to be paid to the protection of separate DIS components.

Suggested Citation

  • Aleksei A. Sychugov & Elvir M. Akhmetshin & Vyacheslav M. Grishin & Raisa N. Shpakova & Andrei V. Plotnikov, 2019. "Algorithm Determine Trust Value To The Distributed Information Systems Elements," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(2), pages 6-9, January.
    • Handle: RePEc:zib:zjmerd:v:42:y:2019:i:2:p:10-16
    DOI: 10.26480/jmerd.02.2019.06.09
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    References listed on IDEAS

    as
    1. Meng Zhang & Guy G. Gable, 2017. "A Systematic Framework for Multilevel Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 28(2), pages 203-224, June.
    2. Matthew J. Hashim & Karthik N. Kannan & Sandra Maximiano, 2017. "Information Feedback, Targeting, and Coordination: An Experimental Study," Information Systems Research, INFORMS, vol. 28(2), pages 289-308, June.
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