Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Detecting Anomalous Behavior via Discovering Attacks Systems for Interval-Valued Data

Anishchenko V.1, Viattchenin D.1, Damaratski A.1, Fisenko V.1
1 United Institute of Informatics Problems NAS of Belarus

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UDC: 004,7.056
Publication Language: Russian
Stuc. intelekt. 2012; 17(3):421-429

Abstract: A method of detecting anomalous user behavior in a distributed computational network for a case of interval-valued data is considered in the article. The method is based on constructing stable clustering structure using a heuristic method of possibilistic clustering. The proposed method is illustrated by the results of numerical experiment.

Keywords: clustering, anomalous observations, uncertain data.

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