基于云计算的网络数据安全优化设计  

Optimization design of network data security based on cloud computing

作　　者：郝杰 HAO Jie(Student Affairs Department,Jiangsu College of Tourism,Yangzhou 225100,Jiangsu)

机构地区：[1]江苏旅游职业学院学生工作处,江苏扬州225100

出　　处：《上海电机学院学报》2023年第4期232-238,共7页Journal of Shanghai Dianji University

摘　　要：针对网络数据易受到外界恶意入侵网络攻击,导致数据泄露、数据异常等安全事件的产生,提出基于云计算的网络数据安全优化方法。通过网络实时运行指标的计算,感知当前网络数据的安全态势。通过特征提取与匹配两个步骤,确定网络数据的入侵攻击类型。针对不同类型的网络攻击,在云计算技术的支持下,从网络设备基础结构、防火墙、用户身份鉴别、数据加密以及数据备份恢复等方面,实现网络数据的安全优化。实验结果表明:通过设计方法的应用,网络数据在地址解析协议(ARP)和分布式拒绝服务(DDoS)两种攻击环境下的静态数据篡改量和动态数据丢失量均低于0.5GB,网络数据通信安全系数的最小值为2.38,均满足预设要求。To solve the vulnerability problem of the network data to external malicious intrusion network attacks,which leads to data leakage,data anomalies and other security events,a network data security optimization method based on cloud computing is proposed.The security situation of current network data is perceived by the calculation of the network real-time operation index.Through the two steps of feature extraction and matching,the intrusion attack type of network data is determined.For different types of network attacks,with the support of cloud computing technology,network data security optimization is realized in network equipment infrastructure,firewall,user identity authentication,data encryption,and data backup and recovery,etc.The experimental results show that the static data tampering and dynamic data loss through the application of the design method are both lower than 0.5 GB under the two attack environments of address resolution protocol(ARP)and distributed denial of service(DDoS).The minimum value of the safety factor for network data communication is 2.38.All these results meet the preset requirements.

关 键 词：云计算技术 网络数据 数据安全 安全态势 入侵攻击 防火墙 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]