An Enhanced Anti Phishing Approach Based on Threshold Value Differentiation
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 116 | Views: 395

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014 | Popularity: 6.2 / 10


     

An Enhanced Anti Phishing Approach Based on Threshold Value Differentiation

Komatla. Sasikala, P. Anitha Rani


Abstract: Phishing is form of creating a similar look-a-like legal website and misleading the customers or users to user their identities or authentication keys such as usernames, passwords, pins to gain the control and then duping the customers by illegal activities such as interpreting data, financial accounts transfer etc mainly phishing is heavily seen in portals like banking, mails etc. This paper presents an anti phishing approach for detecting phishing attacks. Our approach combines a Threshold Value Differentiation approach with machine learning techniques. The Threshold is used as filter that blocks phish web pages used to imitate innocuous user behavior.


Keywords: Phishing, Threshold, Differentiation, Machine learning techniques, Innocuous


Edition: Volume 3 Issue 10, October 2014


Pages: 2323 - 2328



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Komatla. Sasikala, P. Anitha Rani, "An Enhanced Anti Phishing Approach Based on Threshold Value Differentiation", International Journal of Science and Research (IJSR), Volume 3 Issue 10, October 2014, pp. 2323-2328, https://www.ijsr.net/getabstract.php?paperid=15101415, DOI: https://www.doi.org/10.21275/15101415

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