基于深度学习算法的网络安全应用研究

Research on Network Security Application Based on Deep Learning Algorithm

按照安全管理性、直观科学性和可扩展性原则,设计了基于表征、度量深度学习算法的计算机网络安全系统架构,利用交互接口和神经网络算法、卷积运算算法两项关键算法技术进行计算机网络安全预测分析和计算机信息安全等级解译,通过解释机制的优化、深度学习算法推理及核心知识获取,实现了对计算机网络应用数据的安全常态化管理。

According to the principles of security management,intuitive scientificity and scalability,a computer Internet Security Systems architecture based on representation and measurement deep learning algorithm is designed.The computer network security prediction analysis and computer information security level interpretation are carried out by using two key algorithm technologies,namely,interactive interface and neural network algorithm,and convolution algorithm.By optimizing the explanation mechanism,deep learning algorithm inference,and acquiring core knowledge,the safety and normalized management of computer network application data has been achieved.