Phishing website detection using machine learning: A Review
Keywords:
Phishing Detection, Feature Extraction, Phishing Website, Phishing AttacksAbstract
Phishing is the fraudulent attempt to obtain sensitive information such as username, password, bank account details, and credit card details for malicious use. Phishing frauds might be the most popular cybercrime used today. There are various domains where phishing attack can occur like online payment sector, webmail, and financial institution, file hosting or cloud storage and many others. The webmail and online payment sector was targeted by phishing more than in any other industry sector. Several anti-phishing techniques are there such as blacklist, heuristic, visual similarity and machine learning. From this, blacklist approach is commonly used because it is easy to use and implement but it fails to detect new phishing attacks. Machine Learning is efficient technique to detect phishing. It also removes drawback of existing approach. We perform detailed literature survey and proposed new approach to detect phishing website by features extraction and machine learning algorithm.
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