Sara Fathipour Deiman - Sama Technical and Vocational Training College Tehran Branch (Kan), Islamic Azad University, Tehran, Iran
Seyed Javad Mirabedini - Assistant Professor of Computer Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran

Phishing is an effort to obtain information such as username, password, banking account informationand etc., through faking a website, Email address and etc. Social networks and online paymentwebsites are among the most sensitive targets in phishing attacks, which are abundant and could beconsidered as a Big Data, because websites, social networks, users and generated data by them areincreasingly grow. In this paper we tried to analysis a number of websites by utilizing an algorithm andusing tools which are provided by Big Data, and in shorter time, identify phishing websites, and alsoshow that by using Big Data tools, even if Dataset volume increases, but in shorter period we wouldreach desirable results. By reducing the timing of detecting a phishing website, much help will beprovided to Internet users.

Phishing, Big Data, Run Time, Detection