基于云神经网络的物联网信息安全风险评估方法

Method of Information Security RiskAssessment Based on Cloud Neural Network forthe Internet of Things

针对物联网信息安全风险评估因素的随机性和模糊性,将云模型和神经网络结合,进行异构安全因素的动态融合,构建云神经网络物联网信息安全风险评估模型,重点围绕信息安全风险评估开展基于正态云神经网络评估方法的研究,判断评估指标与风险级别之间的全局多值依赖特征,给出风险评估算法,进行多维正态云BP 神经网络的物联网信息安全风险评估仿真实例分析,对于优化物联网信息安全管理,提高物联网信息安全风险评估效率和精度具有参考价值和意义.

Aiming at the randomness and fuzziness of information security risk assessment factors of Internet of Things, cloud neuralnetwork information security risk assessment model was proposed, based on combination of cloud model and neural network anddynamic fusion of heterogeneous security factors. Focus on the research of normal cloud neural network evaluation method andjudgment of global and multivalued dependencies characteristics between safety evaluation indicators and risk levels, and thecorresponding algorithm of risk assessment was given. Verify value and significance of multi-dimensional normal cloud neuralnetwork by simulating examples analysis for the optimization of information security management and improvement the efficiencyand accuracy of risk assessment.