Visible to the public Information Network Risk Assessment Based on AHP and Neural Network

TitleInformation Network Risk Assessment Based on AHP and Neural Network
Publication TypeConference Paper
Year of Publication2018
AuthorsSu, Chunmei, Li, Yonggang, Mao, Wen, Hu, Shangcheng
Conference Name2018 10th International Conference on Communication Software and Networks (ICCSN)
KeywordsAHP, AHP method, analytic hierarchy process, asset risk value, automatic assessment, Collaboration, Communication networks, information network, information network risk assessment, information network security risk assessment application, information networks, matrix algebra, Metrics, neural nets, Neural Network, Neural Network Security, neural network technology, Neural networks, Object recognition, policy-based governance, pubcrawl, resilience, Resiliency, risk analysis, risk judgment matrix consistency, risk management, security, security of data, security risk assessment, system risk value, Training
AbstractThis paper analyzes information network security risk assessment methods and models. Firstly an improved AHP method is proposed to assign the value of assets for solving the problem of risk judgment matrix consistency effectively. And then the neural network technology is proposed to construct the neural network model corresponding to the risk judgment matrix for evaluating the individual risk of assets objectively, the methods for calculating the asset risk value and system risk value are given. Finally some application results are given. Practice proves that the methods are correct and effective, which has been used in information network security risk assessment application and offers a good foundation for the implementation of the automatic assessment.
Citation Keysu_information_2018