study of artificial neural networks in information security risk assessment

the principle of a more comprehensive information capital and organization in the information age and maintain it is very important in this research we decided to use the themes of artificialintelligence algorithms to identify information security risks and impact of planning for security reduce risk. for this purpose we examined the it organization referred to security measures based onthe chkl sets the standard view and review the information we collect to attack the sources of information were both clustering and classification of the information packet and a peak of the nightsaw the need of each one have for the probability of error and to won according to the results of security measures and reduce the likelihood of attacks was effective in reducing dangerous attacks of the clustering of similar results, and they used the systemshows the data integrity of the system may be drnha the data on the different organizational and (c) of adhsaz the impact of security measures to assess.