Construction of a Smart City Network Information Security Evaluation Model Based on GRA-BPNN
Keywords:Smart City, Network Information Security, GRA, BPNN
In this study, we propose an optimized network information security evaluation GRA-BPNN model based on gray correlation analysis method combined with BP neural network model, and make corresponding optimization for network information security evaluation index. Simulation experiments are conducted to analyze the experimental model, and the simulation results show that the test sample values reach the best training performance at the 7th iteration after 13 iterations, and the R-values in the regression of training results all reach above 0.99, and the data are well-fitted. When the number of training iterations reaches 13, the training gradient is 0.00067928, the value of Mu is 0.001, and the validity test value is 6. The GRA-BPNN model scores 0.028 higher than the GRA method, which is in line with the expected error, and the higher score also proves that the GRA-BPNN model is more comprehensive and specific in its scoring consideration.
Kim S M, Jung H S, Lee Y W. Smart City Cyber Security Based on Information Security Industry. The Journal of Korean Institute of Information Technology, 2020, 18(4):129–136.
Li D, Deng L, Lee M, et al. IoT data feature extraction ion and intrusion detection system for smart cities based on deep migration learning. International Journal of Information Management, 2019, 49(1):533–545.
Rashid A M, Yassin A A, Alkadhmawee A A, et al. Smart City Security: Face-Based Image Retrieval Model Using Gray Level Co-Occurrence Matrix. Journal of Information and Communication Technology, 2020, 19(3):437–458.
Scholl M C. Raising Information Security Awareness in the Field of Urban and Regional Planning. International Journal of E-Planning Research, 2019, 8(3):62–86.
Song H H. Testing and Evaluation System for Cloud Computing Information Security Products. Procedia Computer Science, 2020, 166: 84–87.
Liu R, Fan X, Wang Z, et al. Fuzzy BP neural network in radar intelligence quality evaluation. Journal of Physics Conference Series, 2020, 1601(1):032018–032018.
Lin L, Cfa B, Zha B, et al. Grade classification model tandem BpNN method with multi-metal sensor for rice eating quality evaluation – ScienceDirect [J ScienceDirect. Sensors and Actuators B: Chemical, 2019, 281(15):22–27.
Song Y, Wang J J, Chen Z, et al. Research on Occupational Hazard Supervision System of Petroleum Enterprises Based on Cloud Computing. IEEE Access, 2020, 8(1):45356–45367.
Zhang Y, Hu Z, Ji L, et al. Evaluation model of enterprise operation based on BP neural network optimization algorithm. Journal of Physics: Conference Series, 2020, 1570(1):012084–012084.
Yu M, Ding X, Sun H, et al. Role of fuzzy fractional differential equation in the construction of low carbon economy statistical evaluation system. AEJ - Alexandria Engineering Journal, 2020, 59(4):2765–2775.
Cai X, Qian Y, Bai Q, et al. Exploration on the financing risks of enterprise supply chain using Back Propagation neural network. Journal of Computational and Applied Mathematics, 2019, 367(1):112457–112457.
Liu Y, You X, Zhang C. Regional Economic Vitality Based on Weighted Grey Relational Analysis. Journal of Economic Science Research, 2020, 3(2):12–18.
Li B, Wu Q, Zhang W, et al. Water resources security evaluation model based on grey relational analysis and analytic network process: A case study of Guizhou Province. Journal of Water Process Engineering, 2020, 37(1):101429–101429.
Juan, Tang, Hong-Lin, et al. Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis. International Journal of Environmental Research & Public Health, 2019, 16(2): 256–256.
Yang L, Xie N. Evaluation of provincial integration degree of “internet + industry” based on matrix grey relational analysis. Grey Systems: Theory and Application, 2019, 9(1):31–44.
Wu L, Zhou J, Li Z. Applying of GA-BP Neural Network in the Land Ecological Security Evaluation. IAENG International journal of computer science, 2020, 47(1):11–18.
Tan Y S, Chen H, Wu S. Evaluation and implementation of environmentally conscious product design by using AHP and grey relational analysis approaches. Ekoloji, 2019, 28(107):857–864.
Wang X R, Zhou Y. Study on the Application of Neural Network in the Computer Network Security Evaluation. Journal of Intelligent Computing, 2019, 10(3):97–101.
Li R, Tian B, Li Y, et al. Information Security Evaluation based on Artificial Neural Network. International Journal of Performability Engineering, 2019, 15(11):2908–2908.
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