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- W4385845224 abstract "Nowadays email is gaining significant popularity over the past years. Peoples use email as a one of the fastest formal mediums through which they are sending messages and exchanging some files. Due to tremendous use of email between peoples, the new serious threat comes into picture which will be malicious email. The malicious email can be phishing or spam email. Phishing email means financial loss or identity theft to the person who receive phishing email and through which he/she surrenders or gives his confidential information to the phisher, and spam means unsolicited bulk commercial email or advertising emails. The detection of phishing email is one of the crucial parts, and most of detection schemes are not intelligent as has to be. In this paper, we have proposed a new model for detecting phishing email through the use of artificial neural network (ANN). We have used multilayer feed-forward neural networks for phishing email detection, and both legitimate and phish emails are used for training and testing purpose. We have used optimum set of features which are always present in the phishing email, and using these features, we have got 99.79% accuracy in terms of email classification." @default.
- W4385845224 created "2023-08-16" @default.
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- W4385845224 date "2023-01-01" @default.
- W4385845224 modified "2023-10-14" @default.
- W4385845224 title "Phishing Email Mitigation Technique Using Back-Propagation Neural Network for Cyber Space" @default.
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- W4385845224 doi "https://doi.org/10.1007/978-981-99-2058-7_27" @default.
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