Modeling of information attacks, and security risk assessment facilities
On the basis of logical-probabilistic approach developed logical-probabilistic models of information security assessment of the object of attack. The models are based on the current level of knowledge to counter attacks and allow the information to take into account technological features, especially the functioning of the object of attack, regulations and any requirements. The properties of the obtained models in the grades of the new security functions. Improved reachability condition acceptable security level of the object of attack. formulates logic and probabilistic risk assessment criteria of information security object of attack. Proposed procedure for assessing price risks. Showing the direction of automation assess the level of risk on the basis of intelligent fuzzy logic and neural networks for web development environment for cloud computing in cluster Hadoop. Formulated the main system requirements for intelligent automated system monitoring daemon TaskTraker_состояние and others in cluster Hadoop.