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Generation of Metadata for Network Control

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Distributed Computer and Communication Networks (DCCN 2020)

Abstract

In this paper we propose a method of ensuring network information security by controlling network connections using metadata. The metadata contains information about admissible task interactions and application locations in a corporate network.

Metadata is formed based on a mathematical model of an information technology. Information technology models are represented in the form of directed acyclic graphs. This paper describes hierarchical decompositions of directed acyclic graphs. Hierarchical decomposition makes it possible to optimally form blocks of information transformations for their placement on hosts of distributed information and computing system (DICS). Protocols of metadata usage are briefly discussed. The problem of transforming directed acyclic graphs into metadata is solved. Security risks introduced by user interaction with information technology process are considered.

Partially supported by Russian Foundsation for Basic Research (projects 18-29-03081, 18-07-00274).

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References

  1. Grusho, A.A., Timonina, E.E., Shorgin, S.Ya.: Modelling for ensuring information security of the distributed information systems. In: 31th European Conference on Modelling and Simulation Proceedings. Digitaldruck Pirrot GmbHP Dudweiler, Germany, pp. 656–660 (2017)

    Google Scholar 

  2. Grusho, A., Grusho, N., Zabezhailo, M., Zatsarinny, A., Timonina, E.: Information security of SDN on the basis of meta data. In: Rak, J., Bay, J., Kotenko, I., Popyack, L., Skormin, V., Szczypiorski, K. (eds.) MMM-ACNS 2017. LNCS, vol. 10446, pp. 339–347. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65127-9_27

    Chapter  Google Scholar 

  3. Samuylov, K.E., Chukarin, A.V., Yarkina, N.V.: Business Processes and Information Technologies in Management of the Telecommunication Companies. Alpina Publishers, Moscow (2009)

    Google Scholar 

  4. Tanayev, V.S., Shkurba, V.V.: Introduction to the Scheduling Theory. Science, Moscow (1975). (in Russian)

    Google Scholar 

  5. Fei, Y., Du, X., Jiang, C., Deng, R.: Directed acyclic task graph scheduling for heterogeneous computing systems by dynamic critical path duplication algorithm. J. Algorithms Comput. Technol. 3(2), 247–270 (2009)

    Article  MathSciNet  Google Scholar 

  6. Mao, Y., Zhong, H., Wang, L., Li, X.: Delay-bounded associated tasks scheduling based on hierarchical graph model in the cloud. Int. J. Hybrid Inf. Technol. 9, 367–386 (2016)

    Google Scholar 

  7. Behravan, A., Obermaisser, R., Basavegowda, D.H., Meckel, S.: Automatic model-based fault detection and diagnosis using diagnostic directed acyclic graph for a demand-controlled ventilation and heating system in Simulink. In: 2018 Annual IEEE International Systems Conference (SysCon), pp. 1–7 (2018)

    Google Scholar 

  8. Williams, T.C., Bach, C.C., Matthiesen, N.B., Henriksen, T.B., Gagliardi, L.: Directed acyclic graphs: a tool for causal studies in pediatrics. Pediatric Res. 84, 487–493 (2018)

    Google Scholar 

  9. Balmas, F.: Displaying dependence graphs: a hierarchical approach. In: Proceedings Eighth Working Conference on Reverse Engineering, pp. 261–270 (2001)

    Google Scholar 

  10. Grusho, A., Grusho, N., Timonina, E.: Information flow control on the basis of meta data. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds.) DCCN 2019. LNCS, vol. 11965, pp. 548–562. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-36614-8_42

    Chapter  Google Scholar 

  11. Grusho, A.A., Timonina, E.E., Shorgin, S.Ya.: Hierarchical method of meta data generation for control of network connections. J. Inform. Primen. 12(2), 44–49 (2018). (Russian)

    Google Scholar 

  12. TCSEC. Department of Defense Trusted Computer System Evaluation Criteria. DoD (1985)

    Google Scholar 

  13. Grusho, N.A., Senchilo, V.V.: Modeling of secure architecture of distributed information systems on the basis of integrated virtualization. J. Syst. Means Inf. 28(1), 110–122 (2018). (Russian)

    Google Scholar 

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Correspondence to Alexander Grusho .

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Grusho, A., Grusho, N., Zabezhailo, M., Timonina, E. (2020). Generation of Metadata for Network Control. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks. DCCN 2020. Lecture Notes in Computer Science(), vol 12563. Springer, Cham. https://doi.org/10.1007/978-3-030-66471-8_55

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  • DOI: https://doi.org/10.1007/978-3-030-66471-8_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66470-1

  • Online ISBN: 978-3-030-66471-8

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