基于蚁群算法的无线通信网络安全漏洞检测方法

无线通信网络存在因漏洞数据大量累积而造成通信网络运行速率下降的问题，提出基于蚁群算法的无线通信网络安全漏洞检测方法。根据最大、最小蚂蚁系统定义原则，采用蚁群算法，建立完整的数学模型表达式。结合网络爬虫技术，将待测数据载荷单元整理成既定组合形式，遵循绕过规则，提取待测安全漏洞数据。分析SQL注释语句与URL编码条件，设置动态化查询指令，选取其中表现为空的信息字节，建立信息剥离表达式，实现无线通信网络安全漏洞检测。实验结果表明，设计方法的漏洞信息检测量均值达到了4.37Mb，该检测方法有效提高了检测量，解决了因漏洞数据大量累积而造成的通信网络运行速率下降的问题。

Wireless communication network security vulnerability detection method based on ant colony algorithm

The problem that the running rate of wireless communication network decreases due to the accumulation of vulnerability data is presented. According to the definition principle of maximum and minimum ant system, the complete mathematical model expression is established by ant colony algorithm. Combined with the web crawler technology, the load units of the data to be tested are sorted into the established combination form, and the security vulnerability data to be tested is extracted according to the bypass rules. SQL annotation statement and URL coding conditions are analyzed, dynamic query instructions are set, empty information bytes are selected, information stripping expression is established, and wireless communication network security vulnerability detection is realized. The experimental results show that the average amount of vulnerability information detected by the design method reaches 4.37Mb, which effectively improves the amount of detection and solves the problem of communication network operation rate decrease caused by massive accumulation of vulnerability data.