… 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. …

… to distinguish phishing attacks. In this study, an intelligent phishing website detection framework
is … learning models to classify websites as legitimate or phishing. Several classification …

… Phishing is a difficult problem for social networking websites to tackle, because it relies on
… One method includes comparing phishing websites with the “victim” websites, which are …

… phishing website detection using the ML techniques. This research identifies solutions to the
website's phishing problem … performance for detecting phishing websites compared to the …

… representation along with the comparative study of classical … to solve phishing page detection,
because this problem can … detect phishing activities based on categorizing old web pages …

… 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 …

… ] model is yet another detriment as compared to this study’s AdaB-ForestPA-PWDM. … question
is extensively provided in the discussion section. Concisely, the phishing website detection …

… 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…

… PSO are evaluated and compared to the stand-alone phishing website detection models to
… TABLE 2 shows the confusion matrix for the problem of phishing website detection, while …