The following object of research is considered: information processes in special-purpose automated systems with the application of resident type anti-virus protection mechanisms in conditions of the destructive influence of malicious software. The purpose of the study is to improve the efficiency of information processing in special-purpose automated systems in terms of mechanisms resident-type anti-virus protection and the destructive impact of malicious software. The research methods include methods of the theoretical foundations of information security, the methodological apparatus of system analysis, mathematical modeling, methods of probability theory, and mathematical statistics. In the course of the study, the following results were obtained: firstly, the assessment of information processes application in automated special-purpose systems effectiveness was substantiated; secondly, theoretical foundations and method for optimizing the time resources of special-purpose automated systems in the interests of implementing resident-type anti-virus protection mechanisms in conditions of the destructive impact of malicious software have been developed; thirdly, functional and mathematical models of mentioned above information processes have been developed; fourthly, an appropriate technique developed and a computational experiment has been carried out to assess the increase in the efficiency of information processing in special-purpose automated systems in conditions of resident-type anti-virus protection mechanisms usage and the destructive impact of malicious software. The obtained results have allowed improving the efficiency of information processing in special-purpose automated systems in terms of resident-type anti-virus protection mechanisms and destructive effect, through the optimal use of these systems time resource by antivirus mechanisms.

Keywords: special-purpose automated systems, anti-virus protection, anti-virus mechanisms, timeliness, information protection, information processing efficiency, computational experiment