Quarterly journal published in SPbPU
and edited by prof. Peter Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
METHODS OF TIME SERIES MULTIDIMENSIONAL AGGREGATION OF STREAMING DATA IN THE CYBER-PHYSICAL SYSTEMS SECURITY MONITORING

M. A. Poltavtseva, T. M. Andreeva
Peter the Great Saint Petersburg Polytechnic University

Annotation: This work is devoted to the research and development of data aggregation methods in order to increase the performance of detecting attacks in cyber-physical systems (CPS). A special feature of the work is the aggregation of data presented in the form of time series with different periods for methods of prediction and intrusion detection. The article contains requirements for CPS data aggregation, research of new methods of hierarchical and multidimensional aggregation of stream data. The authors propose methods for multi-dimensional data aggregation based on trees and directed graphs and conduct their comparative analysis. For experimental evaluation, the authors developed a prototype of a data aggregation system with hierarchical and multidimensional aggregation systems. The paper contains an assessment of the developed prototype performance and the amount of memory required for each proposed method. The authors propose the application of the developed solutions, indicating the characteristics of the target systems.
Keywords: Cyber Physical Systems (CPS), Multidimensional Aggregation, Data aggregation, Graph theory, Queue tree
Pages 145-156