Intelligent Detection for Cyber Phishing Attacks using Fuzzy rule-Based Systems

Barraclough, Phoebe and Fehringer, Gerhard (2017) Intelligent Detection for Cyber Phishing Attacks using Fuzzy rule-Based Systems. International Journal of Innovative Research in Computer and Communication Engineering, 5 (6). pp. 11001-11010. ISSN 2320-9798

Preview

Text (Full text) 1 -2017-Intelligent Detection for Cyber.pdf - Published Version Download (456kB) | Preview

Abstract

Cyber phishing attacks are increasing rapidly, causing the world economy monetary losses. Although various phishing detections have been proposed to prevent phishing, there is still a lack of accuracy such as false positives and false negatives causing inadequacy in online transactions. This study constructs a fuzzy rule model utilizing combined features based on a fuzzy inference system to tackle the foreseen inaccuracy in online transactions. The importance of the intelligent detection of cyber phishing is to discriminate emerging phishing websites with a higher accuracy. The experimental results achieved an excellent accuracy compared to the reported results in the field, which demonstrates the effectiveness of the fuzzy rule model and the feature-set. The findings indicate that the new approach can be used to discriminate between phishing and legitimate websites. This paper contributes by constructing a fuzzy rule model using a combined effective feature-set that has shown an excellent performance. Phishing deceptions evolve rapidly and should therefore be updated regularly to keep ahead with the changes.

Actions (login required)

View Item

Downloads