基于人工神经网络的信息安全加密管理评估

Evaluation of Information Security Encryption Management Based on Artificial Neural Network

为了提高云数据中心虚拟机信息管理平台的信息安全管理能力,提出一种基于人工神经网络的虚拟机信息安全加密评估方法。在全面分析云数据中心虚拟机信息管理平台建设安全事件的基础上,采用Logistics混沌映射进行数据加密的同态映射设计,基于人工神经网络理论构造云数据中心虚拟机信息管理平台的风险评估模型,对虚拟机云数据进行密钥授权。根据链路层重加密钥检测结果进行信息安全加密的自适应编码设计,实现了虚拟机信息安全的量化评估。在人工神经网络的隐含层采用自适应学习算法进行信息安全编码,依据收敛条件进行云数据中心虚拟机信息加密的过程管理,提高信息加密传输能力,实现信息安全评估。仿真结果表明,采用该方法进行云数据中心虚拟机信息安全评估的准确性较好,防攻击能力较强,确保了信息安全。

In order to improve the ability of information security management of cloud data center virtual machine information management platform,a method of encrypting and evaluating virtual machine information security based on artificial neural network is proposed. On the basis of analyzing the security events of cloud data center virtual machine information management platform,Logistics chaotic mapping is used to design the homomorphic map of data encryption. Based on the theory of artificial neural network,the risk assessment model of cloud data center virtual machine information management platform is constructed,and the virtual machine cloud data is authorized by key. According to the result of link layer recombination key detection,the adaptive coding design of information security encryption is carried out,and the quantization evaluation of virtual machine information security is realized. In the hidden layer of artificial neural network,adaptive learning algorithm is used to encode information security. According to the convergence condition,the process of information encryption in cloud data center virtual machine is managed,the ability of information encryption and transmission is improved,and the information security evaluation is realized. The simulation shows that this method is more accurate and has strong anti-attack ability to evaluate the information security of virtual machine in cloud data center,which ensures the information security.