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Information Journal Paper

Title

Phishing Website Detection for e-Banking by Inclined Planes Optimization Algorithm

Pages

  29-39

Abstract

 One of the most important factors influencing the development of e-commerce and web-based commerce is security. However development of e-commerce leads to phishing and steal the customer information. So the various methods have been designed to detect phishing websites in the literature. Lacks of attention to the short lifetime of phishing website, and to reduce the amount of computation are the main gaps of these methods. In this paper, a new intelligent approach is proposed to detect phishing websites, in e-banking by extracting sensitive features of websites on phishing attacks and classifying candidate websites in three classes such as phishing, legitimate and suspicious websites based on inclined planes optimization algorithm. The comparison results of the new intelligent approach with the best available techniques, demonstrate the ability of this approach to detect phishing websites.

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  • Cite

    APA: Copy

    Langari, N., & Abdolrazzagh Nezhad, M.. (2015). Phishing Website Detection for e-Banking by Inclined Planes Optimization Algorithm. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 3(1 (9) ), 29-39. SID. https://sid.ir/paper/243252/en

    Vancouver: Copy

    Langari N., Abdolrazzagh Nezhad M.. Phishing Website Detection for e-Banking by Inclined Planes Optimization Algorithm. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2015;3(1 (9) ):29-39. Available from: https://sid.ir/paper/243252/en

    IEEE: Copy

    N. Langari, and M. Abdolrazzagh Nezhad, “Phishing Website Detection for e-Banking by Inclined Planes Optimization Algorithm,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 3, no. 1 (9) , pp. 29–39, 2015, [Online]. Available: https://sid.ir/paper/243252/en

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