MyCERT, Cybersecurity Malaysia, 43300 Seri Kembangan, Selangor D.E, Malaysia.

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Abstract—Phishing incidents continues to increase each year and becoming a global threat despite of having phishing detection tools in place. Successful phishing attacks are causing huge loss of money to Internet users and financial Institutions globally and several anti-phishing tools had been proposed to mitigate against phishing. A popular phishing detection tool currently used is the user rating technique, in which users will submit suspicious phishing URLs to a Phishing Blacklist Database, that for verification if it is phishing site. However, it is unclear to the effectiveness of this mechanism in detecting a suspicious site as a phishing website and in mitigating phishing attacks. The shortcomings and setbacks to this approach, in some aspects, needs to be improved and for this purpose, this paper proposes a new phishing detection tool which uses pattern matching technique in detecting a suspicious site as a phishing website. Our findings from this paper will be looked in terms of the speed of detection, false alarm, accuracy and interdependability in comparison to the current phishing detection tool.

Index Terms—Anti-phishing, phishing, pattern matching, user rating.

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Cite: Sharifah Roziah Mohd Kassim, Md Sahrom Abu, Amirah Mohd Omar, "标题," Journal of Computers vol. 14, no. 4, pp. 302-310 , 2019.