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2014 Science and Information Conference
Phishing attacks have become more sophisticated in web-based transactions. As a result, various solutions have been developed to tackle the problem. Such solutions including feature-based and blacklist-based approaches applying machine learning algorithms. However there is still a lack of accuracy and real-time solution. Most machine learning algorithms are parameter driven, but the parameters are difficult to tune to a desirable output. In line with Jiang and Ma's findings, this study presentsdoi:10.1109/sai.2014.6918240 fatcat:f5un7nkdibhtxetqfpswn2sw64