计算机网络安全评价中神经网络的应用研究

研究神经网络在计算机网络安全评价中的应用价值。分析神经网络的特点及其发展历程,计算机网络安全的概念、影响因素及计算机系统的脆弱性,按照可行性、简要性、独立性、完备性和准确性的设计原则建立计算机网络安全评价体系,利用粒子群优化算法对BP神经网络进行优化,然后应用BP神经网络设计计算机网络安全评价模型,按照安全评价步骤对计算机网络安全进行评价。在计算机网络安全评价中应用神经网络可以降低计算机网络安全风险,降低由于安全问题造成的各项损失。神经网络是一种具有自适应、自组织、自学习能力的智能人工算法技术,在计算机网络安全评价中具有极大的应用价值。

Application of neural network in evaluation of computer network security

To study the application value in computer network security evaluation of neural networks,the characteristics and development progress of neural networks,computer network security concept,influencing factors and vulnerability of com-puter systems are analyzed. The computer network security evaluation system is established according to the design principles of feasibility,independence,completeness and accuracy. BP neural network is optimized by using the particle swarm optimization algorithm. The computer network security evaluation model is designed by means of BP neural network. computer network securi-ty is evaluated according to the steps of safety assessment. The application of neural network in the computer network security evaluation can reduce the risk of computer network security and reduce the loss caused by security factors. The neural network is a kind of artificial intelligence algorithm technology with adaptive,self-organizing and self-learning capacities,and has a great application value in computer network security assessment.