Information Network Risk Assessment Based on AHP and Neural Network
| Autor: | Chunmei Su, Yonggang Li, Shangcheng Hu, Wen Mao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Artificial neural network Computer science business.industry Network security Analytic hierarchy process 02 engineering and technology computer.software_genre Individual risk Asset risk Consistency (database systems) 020901 industrial engineering & automation Value (economics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining business Risk assessment computer Risk management |
| Zdroj: | 2018 10th International Conference on Communication Software and Networks (ICCSN). |
| DOI: | 10.1109/iccsn.2018.8488314 |
| Popis: | This 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. |
| Databáze: | OpenAIRE |
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