A Website Credibility Assessment Scheme Based on Page Association
The credibility of websites is an important factor to pre vent malicious attacks such as phishing.These attacks cause huge eco nomic losses, for example attacks to online transaction systems.Most of the existing page-rating solutions, such as PageRank and Alexa Rank, are not designed for detecting malicious websites.The main goal of these solutions is to reflect the popularity and relevance of the web sites, which might be manipulated by attackers.Other security-oriented rating schemes, e.g., black/white listed based, voting-based and page similarity-based mechanisms, are limited in the accuracy for new pages, bias in recommendation and low efficiency.To balance the user expe rience and detection accuracy, inspired by the basic idea of PageRank, we developed a website credibility assessment algorithm based on page association.We prototyped our algorithm and developed a website as sessment extension for the Safari browser.The experiment results showed that our method is accurate and effective in assessing websites for threats from phishing with a low performance overhead.
Website credibility Page association Page rating
Pei Li Jian Mao Ruilong Wang Lihua Zhang Tao Wei
School of Electronic and Information Engineering,BeiHang University,China Institute of Computer Science and Technology,Peking University,China FireEye Inc,United States
国际会议
福州
英文
105-118
2014-05-05（万方平台首次上网日期，不代表论文的发表时间）