Authors D.A. Bespalov, A.A. Ananev
Month, Year 05, 2017 @en
Index UDC 004.075
Abstract At present, the problem of analyzing the behavior of complex information systems in real time becomes more urgent. In this regard, this article proposes a method for determining anomalies in the behavior of information systems using intelligent plastic cards based on multifractal analysis methods. The solution of this task is based on an assessment of the natural behavior of information systems, which is based on fractality, that is, self-similarity. In this case, the self-similarity of the system is understood as the presence of the frequency of behavior elements against the background of the general dynamics of the development of the system. In this case, the evaluation of the state of the system is carried out on a number of parameters represented in the form of time series, and the detection of behavioral anomalies is expressed in the form of artifacts of data of time series that violate the normal course of the processes. Self-similarity here is expressed in the repetition of the forms of time series into which any anomalies make their own changes. At the same time, the authors focus on information systems, which include smart plastic cards. On the one hand, plastic cards serve as an element that increases the security of the system, while on the other hand, they make their vulnerabilities both on a software and hardware level. Together with them in the behavior of the system artefacts or anomalies appear that are characteristic only for plastic cards, which makes it difficult to use other classical methods of detecting abnormal behavior of systems. Unlike the classical methods of detecting anomalies, this work uses a method based on multifractal analysis that allows monitoring the target information system in real time and determining the moment of occurrence of a behavioral anomaly or identifying the stage of approaching this moment.

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Keywords Anomaly of behavior; analysis; plastic card; information system; multifractal.
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