International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 109

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014


Enhanced Phishing Detection based on Image Differentiation

B. Jenny Jyoshna, Shaik Nyamathulla


Abstract: Phishing is an art of creating a illegal look-a-like website of ethical trusted legal website, and dupe customer by sending an wrong information or link asking them to use their private passwords and username or pins to gain access. When the customer mistakes or unknowingly use their essential of access to website, this phishers collect mainly email, banking, company login accounts that are targeted. This paper proposes an image differentiation methodology or architecture to detect legality of the website with a well know captcha technology and Googles ranking where user cross checks with multiple authentication procedures in order to tackle with phishing problem.


Keywords: Phishing, ethical, image captcha, shares, private passwords, differentiation


Edition: Volume 3 Issue 10, October 2014,


Pages: 2313 - 2317


How to Cite this Article?

B. Jenny Jyoshna, Shaik Nyamathulla, "Enhanced Phishing Detection based on Image Differentiation", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=15101409, Volume 3 Issue 10, October 2014, 2313 - 2317

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