基于污染源追踪的PHP源代码漏洞检测方法研究  

PHP Source Code Vulnerability Detection Method Based on Pollution Source Tracking

在线阅读下载全文

作  者:张媛[1] Zhang Yuan(Xinjiang Agricultural Vocational Technical College, Changji 831100, China)

机构地区:[1]新疆农业职业技术学院,新疆昌吉831100

出  处:《环境科学与管理》2020年第7期23-27,共5页Environmental Science and Management

摘  要:为了更好的实现对污染源进行准确追踪,提高源代码漏洞检测准确性,提出基于污染源追踪的PHP源代码漏洞检测方法。首先对污染源代码特征数值进行准确采集和规划,针对不同PHP源代码漏顶数值和相关数据进行漏顶区域定位处理,根据定位结果对源代码漏洞特征级别进行修补,以提高源代码漏洞检测的准确性和源代码安全性。最后通过实验证实,基于污染源追踪的PHP源代码漏洞检测方法具有更高的准确性和有效性,充分满足研究要求。In order to track pollution sources accurately and improve the accuracy of source code vulnerability detection,a PHP source code vulnerability detection method based on pollution source tracking is proposed.Firstly,the pollution source code characteristic values are accurately collected and planned,and the leaky top regions are located for different PHP source code leaky top values and related data,and the source code vulnerability characteristic levels are repaired according to the location results,so as to improve the accuracy of source code vulnerability detection and source code security.Finally,the experiment proves that the PHP source code vulnerability detection method based on pollution source tracking has higher accuracy and effectiveness and fully meets the research requirements.

关 键 词:污染源 PHP 数据追踪 源代码 漏洞检测 

分 类 号:X32[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象