The Survey and Proposal on Machine Learning Based Phishing Detection Techniques
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Abstract
Rapidly growing cyber infrastructure has reduced the cost of communication and internettherefore,normal people
and attackers usages it much frequently. Additionally cheaters are changing their faces therefore secure communication is
essential.Among a number of security challenges phishing is one of the issues where a fixed solution is not available.
Therefore identification of changing faces of phishing is needed to be investigated. In this work the current techniques based
on ML (machine learning)are investigated and categorize methods according to the features used and classifiers. Using the
observed techniques a model based ML is proposed. The basic design of the required phishing detection model is reported.
Additionally its functional aspects are discussed. Finally the summary is provided and future work is proposed.
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