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A Country Based Model Towards Phishing Detection Enhancement
Abdullah M. Alnajim

Dr. Abdullah M. Alnajim, Department of Information Technology, College of Computer, Qassim University, Buraydah Saudi Arabia.
Manuscript received on 14 June 2015 | Revised Manuscript received on 23 June 2015 | Manuscript Published on 30 June 2015 | PP: 52-57 | Volume-5 Issue-1, June 2015 | Retrieval Number: A2121065115/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this research, a novel country based model to detect phishing attacks is presented. The aim is to enhance the phishing countermeasures applied on a country’s Internet infrastructure. This is because of that the anti-phishing framework in Saudi Arabia is exposed to users when they fall to phishing attacks. This paper proposes enhancing anti-phishing behaviors by training them to detect phishing instead of only blocking phishing websites. A prototype proof of concept implementation is discussed and shows the model is exposed to phishing victims who are inside the country deployed it (e.g. Saudi Arabia).
Keywords: Blacklists, Content Filters, Data Service Provider, E-Commerce Security, Network Proxy, Online Banking Security, Phishing , Saudi Arabia.

Scope of the Article: Probabilistic Models and Methods