Abstract
In the internet age, a large number of transactions are performed everyday, so website phishing is a crucial security problem in this age. Website phishing can be explained as stealing some information from the user without let them know that it is going to a non-genuine person. Our focus is on some techniques that make end users to be secured from phishing attack. We are developing neural network-based approach that will be prepared against previous dataset and latest acquired dataset so that it can have every flavor of phishing website data. The output layer of neural network gives the result and that result will determine whether the website is phishing or not.
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Verma, M.K., Yadav, S., Goyal, B.K., Prasad, B.R., Agarawal, S. (2019). Phishing Website Detection Using Neural Network and Deep Belief Network. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 707. Springer, Singapore. https://doi.org/10.1007/978-981-10-8639-7_30
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DOI: https://doi.org/10.1007/978-981-10-8639-7_30
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