… threats in web phishing and spear phishing. Phishing websites continue to be a problem.
One of the main contributions to our study was working and extracting the URL & Domain …

… This paper provides a detailed comparison of various solutions for phishing website … In
the machine learning area, detecting phishing websites is a classification problem. …

… of phishing website detection techniques, the data sets used, and the comparative performance
of … indicating an issue with their bank account and be directed to a website that appears …

… framework to detect phishing websites using stacking model. … This problem can be reduced
by blacklisting and detecting … This research study presents a comparison of supervised …

… To alleviate this problem, the contribution of … Page rank Int E Phishing web pages are not
very popular, hence, they suppose to have low page ranks compared with legitimate web pages…

… as a two-category processing model, we formally define the problem of phishing detection …
features based on the phishing URL and then compared the detection performance of multiple …

… Table 1 provides a summary of these works in comparison to our work with respect to five …
WHOIS-based feature also suffers from the same problem of Alexa feature, ie, it fails, when the …

… detect phishing websites. In order to alleviate this problem, this paper proposes OFS-NN, an
effective phishing … It deals with local and DNS spoofing attacks by comparing DNS enquiry …

… classification and detection of phishing websites. In, this paper we have compared different
… al., [9] mentioned the class imbalance problem existing in the phishing website detection. As …

… considered for phishing website detection. Currently, [7] one of the problems encountered in
… Thereafter, we searched and chose the classifiers that we will use for accuracy comparison. …