An Automated Analyzer for Users’ Anti-Phishing Behaviour within a LAN
Abdullah M. Alnajim
Dr. Abdullah M. Alnajim, Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.
Manuscript received on June 17, 2015. | Revised Manuscript received on June 26, 2015. | Manuscript published on July 05, 2015. | PP: 115-119 | Volume-5 Issue-3, July 2015. | Retrieval Number: C2674075315/2015©BEIESP
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©The Authors. Published By: 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: Phishing is a security attack that seeks to trick people into revealing sensitive information about themselves and their Internet accounts. This paper proposes a novel anti-phishing approach that is deployed within a Local Area Network (LAN). The approach is a model that automatically perform ongoing analysis for users behaviours against phishing attacks and then based on the results it decides whether to train them or not against phishing. The aim is to enhance the phishing countermeasures applied on a LAN by making users aware of phishing attacks. A prototype proof of concept implementation is presented in this paper in order to test the approach’s applicability. The prototype of the new model shows that the approach model runs and performs the concept.
Keywords: Modeling, Analyzer, Blacklists, LAN, e-Commerce Security, Network, Proxy, Online Banking Security, Phishing, Pharming.