• Raj Anant
• S. S. Bhosale
• Ayesha Qureshi
• Chandan Yadav
• S. N. Kamble, C. G. Patil

In 21st Century, Our generation is increasingly moving toward digital future and integrating ourselves in the world of internet but this has led to one of the major problem in cyberspace is how to maintain cyber security. Cyber security is often threatened by phishing attacks. In recent years there has been increase of over 40% in phishing attacks.Phishing is a type of cyber attack which is used to steal the sensitive personal information of unaware victim. These attacks have increased because the value of ones personal information has increased rapidly. To prevent this a system is proposed for phishing websites detection by utilizing Deep learning methods. Convolutional Neural Networks (CNN) is one of the method of deep learning.Dataset containing legitimate and phishing website URLs is going to be used in for proposed system. With the CNN based model excellent accuracy can be achieved for distinguishing phishing websites apart from legitimate websites. The deep learning methods used to prevent phishing attacks can help to reduce cybercrime. The system that is proposed in this paper has shown accuracy of 94.96% which is quite good. Along with it a web application has been proposed which utilizes trained CNN model.

Deep Learning, CNN, Phishing, Cyber attack, URL, Personal Data, Classification.

"Phishing Detection System based on Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.378-384, August-2022, Available :http://www.jetir.org/papers/JETIRFP06066.pdf

"Phishing Detection System based on Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp378-384, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06066.pdf