Published Paper Details:

Phishing is defined as fraudulent processes that aim to obtain some information, especially username, password, or any financial details, for access and malicious reasons. Phishing fraud could be one of the most common practices in the field of cybercrime to be amongst the one today. There are variety of domains where phishing attack can take place such as online payment sector, webmail, financial institution, file hosting or cloud storage and so on. The webmail and online payment sector was more targeted by phishing than in any other industry sector. There are several anti-phishing techniques that include blacklist, heuristic, visual similarity and machine learning. From this, blacklist approach is commonly using/used as it is very easy to use and implement, but it is not able to detect new phishing attacks. Machine Learning is an effective technique used to detect phishing. It also removes the drawback of the existing approach. Our research includes a comprehensive literature review and proposes a new approach to detect phishing websites using feature extraction and machine learning algorithms.