Following recent developments in digital environments, online services have become more diverse. Because of this, many users find it difficult to manage their ID and password. As such, there is a rising need for effective ID management systems. Among them, OpenID is a simple, light and usercentric ID management system. However, because of OpenID is vulnerable to phishing, so many measures being are taken to solve this problem, although no perfect anti-phishing method has so far been devised. In this paper, new anti-phishing methods using tokens and authentication e-mail are proposed. The suggested methods are based on the assumption that the number of OPs is small, and are hence safer from attack and easier to realize from the technical viewpoint than existing methods.
Abstract.Recently, Phishing is a significant security threat to users and has been easy and effective way for trickery and deception on the internet. Phishing is an attempt to acquire our information as well as financial information without user's knowledge by making similar kind of website or sending e-mails to users. Some of the widely available and used phishing detection techniques include whitelisting, blacklisting, and heuristics. But, absolute and perfect antiphishing solutions and techniques are hard to fine due to a variability of phishing site domain. This paper aims to collect and filter out phishing suspicious URLs before determine phishing sites using Spamtrap system which is a honeypot used to collect spam e-mail. Spam e-mail usually contain phishing site URLs, so we can collect phishing site URLs from spam e-mail of spamtrap system. After collect URLs that can be phishing sites, many kind of phishing site detection algorithm can be used in our paper.
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