Abstract
The problem of identification of poorly expressed anomalies in the model of generalized systems is considered. System is described by a set of processes. Processes can have different nature, i.e. description of each of them has own language and therefore an anomaly in each process is expressed in own way. Therefore an identification of anomalies belongs to the problems connected with heterogeneous systems which cannot be investigated by homogeneous means.
For the analysis and identification of anomalies several information spaces are used. The independent analysis of behavior of the system in each information space allows to simplify the procedure of identification of poorly expressed anomalies. Combination of results of identification of poorly expressed anomalies in several information spaces can be constructed on the basis of binary functions. Such approach allows to unify results of researches of anomalies in various information spaces.
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This work was partially supported by the Russian Foundation for Basic Research (grant No. 18-29-03081).
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Grusho, A., Grusho, N., Timonina, E. (2020). Method of Several Information Spaces for Identification of Anomalies. In: Kotenko, I., Badica, C., Desnitsky, V., El Baz, D., Ivanovic, M. (eds) Intelligent Distributed Computing XIII. IDC 2019. Studies in Computational Intelligence, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-32258-8_60
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DOI: https://doi.org/10.1007/978-3-030-32258-8_60
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