Abstract- Phishing attacks have emerged as a significant threat to online security, targeting unsuspecting users to divulge sensitive information through fraudulent websites. To counter this threat, a proactive approach involving predictive techniques is crucial. This study presents a novel approach for predicting phishing websites using an Artificial Neural Network (ANN) technique. The proposed model leverages the inherent pattern recognition capabilities of ANNs to analyze a comprehensive set of features extracted from website URLs, content, and meta-information. A dataset comprising legitimate and phishing websites is used for training and evaluation. This paper presents phishing websites prediction based on artificial neural network technique.

Index Terms- ANN, AI, Phishing Websites, Deep Learning.

PDF | DOI: 10.17148/IJARCCE.2023.12747

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