The article describes the method of identification of abnormal actions of users of corporate computer systems based on the analysis of log files. The proposed method is based on the clustering of system log events by The IPLoM algorithm and the construction of an event count matrix for its further analysis using machine learning methods.

Keywords: machine learning, information security, data analysis, syslog monitoring, log file, IPLoM

In this paper we investigate the signal delay in interconnection based on carbon nanotubes. The analysis of the electrical parameters of the equivalent circuit interconnection and the dependence on the length of the delay of the signal beam nanotubes. Define a set of parameters that characterize the features of the functioning of the carbon nanotubes as interconnects. Compiled by the equivalent model of the interconnect based on carbon nanotubes and determined it electrically. Based on the functions of the signal at the output of the interconnect simulated signal delay in interconnection.

Keywords: Nanotube, delay, signal interconnect circuitry