Information Security Risk Assessment Based on Cloud Computing and BP Neural Network
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With the rapid development of information technology, the risk of information security has also risen. At present, individuals, and nations attach great importance to information security issues, and information security assessment has become a necessary technical means. This paper uses cloud computing and BP neural network to use the analytic hierarchy process to evaluate the information security risk and verify the applicability of this method to information security evaluation. This paper collects and processes a large number of information security risk events, and obtains four first-level indicators that affect information security, including law, platform, user, and technology, and analyzes them with the first-level indicators. Causes, discuss them and draw relevant conclusions. The experimental results show that to reduce information security risks, related technology companies should invest heavily in technology security research, improve technology security and reliability, and the platform should consciously do a good job of protecting customer privacy and optimizing operation plans. Related departments should also introduce and Update relevant laws and regulations in a timely manner and popularize corresponding treatment methods for users who encounter security risks. Users also need to raise their own method awareness. It is also verified that the method is suitable for information security risk assessment and has good results.
KeywordsCloud computing BP neural network Information security risk assessment Analytic hierarchy process
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