Statistics Hacking - Exploiting Vulnerabilities in News Websites

被引:0
|
作者
Arora, Amrinder [1 ]
机构
[1] George Washington Univ, Dept Comp Sci, Washington, DC 20052 USA
关键词
Statistics Hacking; Click Fraud; Link Spamming; Image Verification; Turing Test; CAPTCHA; Human Verification;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We analyze and discuss a vulnerability in leading news websites, that can lead to modification of the system statistics by malicious users (statistics hacking). We outline two broad categories of methods that can counter statistics hacking. The first category consists of many methods already available to distinguish human users from computers. We compare the different methods within this category on basis of security and accessibility. The second category uses well known clustering techniques applied to the web statistics. We compare the different methods within this category on basis of security.
引用
收藏
页码:342 / 347
页数:6
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