浏览器指纹技术的研究与应用  

Research and Application of Browser Fingerprint Technology

作　　者：杨立鹏[1] 王拓[1] 樊春美 

机构地区：[1]中国铁道科学研究院,北京100081

出　　处：《计算机技术与发展》2018年第3期169-173,共5页Computer Technology and Development

基　　金：中国铁路总公司2016年重点项目(2016X004-G);中国铁路总公司2015年重点项目(2015X003-A)

摘　　要：为了防止用户的信息被盗用,能够及时地发现用户的不正常登录,可以通过研究用户使用的浏览器特征,建立唯一标识用户的指纹信息。由于基于信息熵的浏览器指纹计算算法,会将发生细微变化的同一指纹生成不同的指纹,因此增加了指纹识别的错误率。为了改进该方法,介绍了基于浏览器指纹信息熵和相似度计算的浏览器指纹识别算法,即将不同的浏览器特征通过信息熵计算公式得到一个ID,当出现同一用户而信息熵不一致时,根据相似度的计算进行判断。该算法综合考虑了指纹完全匹配和部分匹配的情况,提高了同一指纹的辨别能力。实验结果表明,该算法可以更好地识别用户。In order to prevent the user's information from being stolen and find the abnormal login of users,we can study the user's browser features and establish an unique ID that identifies the user's fingerprint.As the browser fingerprint algorithm based on the information entropy will generate a different fingerprint for the same one with subtle changes,the error rate of fingerprint recognition is increased.In order to improve above method,we introduce the browser fingerprint identification algorithm based on the information entropy of the browser fingerprint and the similarity calculation.It gets an ID by information entropy calculation formula for different browser features.When the same users occur but their information entropy don't match,it is determined according to the similarity of the calculation. The proposed algorithm comprehensively considers the perfect matching and partial matching for fingerprint,which improves the discrimination to the same fingerprint.The experiment shows that it can be better identification of the users.

关 键 词：浏览器指纹 设备指纹 JAVASCRIPT WEB安全 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]