基于区块链技术的互联网暴露面网站批量网页篡改异常检测方法
Blockchain Based Anomaly Detection Method for Batch Page Tampering of Internet Exposed Websites
左晶 1杨新涛2
作者信息
- 1. 中国移动信息技术有限公司,北京 100032
- 2. 中国移动通信集团四川有限公司,四川 成都 610000
- 折叠
摘要
互联网暴露面网站作为信息交流和商业活动的重要平台,其网页内容的完整性和真实性对于用户信任、企业声誉乃至国家安全都具有重要意义.因此,现提出基于区块链技术的互联网暴露面网站批量网页篡改异常检测方法.基于区块链技术中的隐蔽地址技术,构建了网页篡改异常检测模型,进而提取互联网暴露面网站批量网页篡改攻击数据特征,最后,计算出批量异常网页相似度,对比实现网页篡改的异常检测.实验结果表明:基于区块链技术的互联网暴露面网站批量网页篡改异常检测方法相较于传统方法能够准确检测测试集中的被篡改网页数量,因此可以证明区块链技术在检测准确性表现出了较好的性能.
Abstract
As an important platform for information exchange and business activities,the integri-ty and authenticity of the content of Internet exposed websites are of great significance for user trust,corporate reputation and even national security.Therefore,this paper proposes an anomaly detection method for batch page tampering of Internet exposed websites based on blockchain technology.Based on the hidden address technology in blockchain technology,this paper con-structs a web page tamper anomaly detection model,and then extracts the characteristics of batch web page tamper attack data from Internet exposed websites.Finally,it calculates the similarity of batch abnormal web pages,and implements the anomaly detection of web page tamper by comparison.The experimental results show that:compared with traditional methods,the meth-od of batch page tampering anomaly detection of Internet exposed websites based on blockchain technology can accurately detect the number of tampered pages in the test set,so it can prove that blockchain technology has shown good performance in detection accuracy.
关键词
互联网暴露面网站/网页篡改/区块链技术/异常检测/哈希函数Key words
Exposed websites in Internet/Web page tampering/Blockchain technology/Abnor-mal detection/Hash function引用本文复制引用
出版年
2024
NETL
NSTL
万方数据