Skip to main content
Log in

An ontological model of the domain of applications for the Internet of Things in analyzing information security

  • Published:
Automatic Control and Computer Sciences Aims and scope Submit manuscript

Abstract

In this paper, we have proposed an ontological model for the application domain of the Internet of Things (IoT) that provides a detailed representation of the relationships and interrelations between system elements at different levels of abstraction with different degrees of detail. The ontological model allows one to understand the technical aspects of developing security information and event management (SIEM) systems for the detection and analysis of security incidents in the IoT.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Lavrova, D.S., The approach to the development of the SIEM system for the Internet of things, Probl. Inf. Bezop., Komp’yut. Sist., 2016, no. 2, pp. 50–60.

    Google Scholar 

  2. Poletaeva, E.V., Principles of constructing an ontology of the subject field of engineering, Progr. Prod. Sist. Algoritmy, 2015, no. 1.

    Google Scholar 

  3. Lychkina, N.N. and Idiatullin, A.R., Development of a complex of ontological models of the enterprise architecture, Materialy pyatoi mezhdunarodnoi konferentsii “Parallel’nye vychisleniya i zadachi upravleniya” (Proc. Fifth Int. Conf. Parallel Computing and Control Problems), Moscow, 2010.

    Google Scholar 

  4. Information Models of Knowledge ITHEA®, Markov, K., Velychko, V., and Voloshin, O., Eds., Kiev, Sofia, 2010.

  5. Lavrova, D. and Pechenkin, A., Applying correlation and regression analysis methods for security incidents detection in the internet of things, Int. J. Commun. Networks Inf. Secur., 2015, vol. 7, no. 3, pp. 131–137.

    Google Scholar 

  6. Lavrova, D.S. and Poltavtseva, M.A., Simulation of events in the Internet of Things and construction of directories of device metadata, Sb. Materialov 24-i nauchno-tekhnicheskoi konferentsii “Metody i tekhnicheskie sredstva obespecheniya bezopasnosti informatsii” 29 iyunya–2 iyulya 2015 g. (Proc. 24th Scientific and Technical Conference Methods and Technical Means of Ensuring Information Security, June 29–July 2, 2015), St. Petersburg: Izd. Politekh. Univ., 2015, pp. 26–28.

    Google Scholar 

  7. Poltavtseva, M.A., Normalization of the Internet of Things data in the system of detecting security incidents, Sb. Materialov 24-i nauchno-tekhnicheskoi konferentsii “Metody i tekhnicheskie sredstva obespecheniya bezopasnosti informatsii” 29 iyunya–02 iyulya 2015 g. (Proc. 24th Sci. Tech. Conf. Methods and Technical Means of Ensuring Information Security, June 29–July 2, 2015), St. Petersburg: Izd. politekh. Univ., 2015, pp. 29–31.

    Google Scholar 

  8. Gu, Z. and Li, Y., Research of security event correlation based on attribute similarity, Int. J. Digital Content Technol. Appl., 2011, vol. 5, no. 6, pp. 222–228.

    Article  Google Scholar 

  9. Bellec, J.-H. and Kechadi, T-M., Fuzzy event correlation algorithm in wide telecommunication networks, J. IJMUE SERSC, 2008, vol. 3, no. 2, pp. 103–116.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. S. Lavrova.

Additional information

Original Russian Text © D.S. Lavrova, Yu.S. Vasil’ev, 2017, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lavrova, D.S., Vasil’ev, Y.S. An ontological model of the domain of applications for the Internet of Things in analyzing information security. Aut. Control Comp. Sci. 51, 817–823 (2017). https://doi.org/10.3103/S0146411617080132

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0146411617080132

Keywords

Navigation