Integration of statistical and deterministic methods for analysis of information security

The paper is devoted to the methods of automatic analysis of information security and control mechanisms in cloudy computing environments. The considered approaches are based on synthesis of probabilistic and statistical and deterministic methods. The statistical analysis allows creating a set of objects for the deterministic (logical) analysis. As deterministic methods demand large volumes of calculations, preliminary statistical processing allows to reduce volumes of data for the deterministic (logical) analysis. In the paper, deterministic methods are presented by analogs of search of causal relationships. Application of heuristic and plausible reasonings can generate doubtful conclusions which are connected with random character of source data. Therefore, the analysis of random generation of deterministic conclusions is considered. The suggested methods of the analysis are focused on two-level architecture of information security system in cloudy computing environments. In this architecture, a slow automatic data mining generates at the top level fast reaction for resolution of conflicts in computing processes or identification of malicious code functioning.