چکیده:
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 pack
et 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 Ad
hsaz the impact of security measures to assess.
خلاصه ماشینی:
Keyword: Neural networks, artificial, risk assessment, information security, algorithm * Corresponding author: Ahmadi Peer review under responsibility of UCT Journal of Management and Accounting Studies INTRODUCTION The complexity of the economy and the dynamics and complexity of risks and uncertainties that develops and broader aspects such as political and social aspects finds (Stoll 2015) 1 Artificial intelligence is also an important place in recent decades in research environments and practical solutions in organizations (Rahman and Saba, 2014) 2 information security risk management as one of the critical issues in organizations has become the information age 1-2Byan issue Due to changes in organizational and business processes, compa nies need to survive and its competitive position in the exchange of information on the use of information technology, finance and control Khvddarnd exchange.
(ZAHOO, 206) 13 This research is a new model for information security risk assessment using clustering and classification using And Khvh and classification neural network and classification tree based on the average nearest neighbor and the presentation of the Yi in theindex model to determine the probability of the threat and damage Bpz taken and depending on the outcome of the incident , theassessment of the relevant risks.
206) 14 This research is a new model for information security risk assessment using neural network gives presents in this flagship model Yi to determine the likelihood of the threat and damage Bpz taken and depending on the outcome of the incident, the relevant riskAssessment Suha in addition to the comparison between the approach of the themes algorithms, data collection methods and theirstre ngths and weaknesses another aspect of the research is new in this.