A novel fuzzy approach for phishing detection

Phishing is one of the luring techniques used by phishers in the intention of exploiting the personal information. Phishing website is a fake website that looks similar to legitimate site in terms of interface and uniform resource locator (URL) address. Therefore, the numbers of victim have been increasing due to inefficient methods using blacklist to detect phishing. This paper proposed a new technique that apply fuzzy logic based on the features of URL to detect phishing sites. The proposed technique was evaluated with the dataset of 11,660 phishing sites and 5,000 legitimate sites. The results show that the technique can detect over 98% phishing sites.