Early Staged Cyber Incidents Detection in Critical Infrastructures


  • A. Anskaitis
  • T. Baksys
  • N. Blazys
  • R. Rainys Kazimieras Simonavicius University


security, cyber-attack, incident detection, traffic anomaly


The aim of the research is to create cyber incidents early detection model based on network traffic and OS-based system analyses. Developed cyber attacks detection model is based on anomalies measurements. With the 11 selected parameters and measurement software for real-time data traffic analyze, anomalies in traffic observed during cyber-attack simulation process. For OS-based system similar approach used with 4 selected parameters and Neural-networks classification method. This measurement solution detects anomalies in parameters sets and indicates cyber incidents.

Author Biography

R. Rainys, Kazimieras Simonavicius University

Born in 24/06/1976. Defended Ph.D. in 2011 in the area of Technology Sciences from Vilnius Gedimino Technical University (VGTU), Lithuania. Assoc. Prof. at Kazimieras Simonavicius University


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How to Cite

Anskaitis, A., Baksys, T., Blazys, N., & Rainys, R. (2016). Early Staged Cyber Incidents Detection in Critical Infrastructures. Asian Journal of Computer and Information Systems, 4(5). Retrieved from https://ajouronline.com/index.php/AJCIS/article/view/4015