Abstract
This paper deals with estimating and providing availability of corporate smart space services on the example of the interactive corporate television service. For this purpose, the authors explore the known methods of traffic flow filtering, propose a technique to estimate the service availability, build the mass queuing model of the service and carry out the experiments with filtering methods. The experiments show that the effect values have peaks that depend on the conditions of operating and the filtering method parameters. So, the problem of determining the filtering method parameters can be represented as an optimization problem in a multidimensional space. The changing conditions of operating may be taken into account using adaptive approaches. Further research direction include: classifying and analyzing different ways (models, scenarios, modalities) of interaction between users and service, exploring the possibility of applying non-temporal parameters to analyze request flows, building the general threat taxonomy for the corporate smart space services including threats to confidentiality, integrity and availability, considering the possibility of implementing the complex service protection taking into account threat sources, threats, risk events and effects.
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The presented work was supported by the Russian Science Foundation (grant No. 16-19-00044).
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Levonevskiy, D., Vatamaniuk, I., Saveliev, A. (2018). Providing Availability of the Smart Space Services by Means of Incoming Data Control Methods. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2018. Lecture Notes in Computer Science(), vol 11097. Springer, Cham. https://doi.org/10.1007/978-3-319-99582-3_18
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DOI: https://doi.org/10.1007/978-3-319-99582-3_18
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