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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