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Mobile Phishing Detection using Naive Bayesian Algorithm


Narander Kumar and Priyanka Chaudhary


Vol. 17  No. 7  pp. 142-147


E-commerce has been the focal point of attraction for a large number of clients, since individuals now need to perform essential exercises like purchasing and offering and so forth over the web through PCs or cell phones. The Phishing assault is the one most normal one among these all, as mobile banking has been getting popular, henceforth shielding the mobile clients from phishing assaults is vital especially mid-range mobile clients, because that these clients are simple focuses of aggressors as mid-range cell phones don't support features such as antivirus or anti phishing. The paper intends to build up a machine learning-based mobile phishing detection framework with respect to cell phones to distinguish malware applications. The essential goal of this paper is to identify mobile phishing and protect information and information leakage.


Phishing, E-commerce, Mobile Device, Security, Black Box