Abstract
Multi-service computer networks (MSCN) play an important role in the modern society life. However, design of MSCN is a rather complex challenge. Development of adaptive routing algorithms, which consider the failures of nodes and communication lines because of the impact of the computer attacks, holds a specific place in MSCN design. The paper offers a new approach to adaptive routing in MSCN based on a combined use of the multi-path routing of data streams and the integral criterion, which is based on fuzzy assessment of network states. The algorithm based on this approach considers additional routing metrics, i.e. the level of information security, the technical state of network elements and the packet loss probability. The experimental assessment of the offered algorithm of fuzzy adaptive routing showed that in the conditions of high level impact of computer attacks the gain in the time of message delay is improved by 2–4 times. It testifies about higher performance of the proposed algorithm in comparison with known algorithms.
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Acknowledgements
This research is being supported by the grants of the RFBR (15-07-07451, 16-37-00338, 16-29-09482), partial support of budgetary subjects 0073-2015-0004 and 0073-2015-0007, and Grant 074-U01.
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Kotenko, I., Saenko, I., Ageev, S. (2018). Fuzzy Adaptive Routing in Multi-service Computer Networks under Cyber Attack Implementation. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Vasileva, M., Sukhanov, A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. Advances in Intelligent Systems and Computing, vol 679. Springer, Cham. https://doi.org/10.1007/978-3-319-68321-8_22
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DOI: https://doi.org/10.1007/978-3-319-68321-8_22
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