PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis

arXiv:2404.17960v1 Announce Type: cross
Abstract: Cybersecurity is one of the global issues because of the extensive dependence on cyber systems of individuals, industries, and organizations. Among the cyber attacks, phishing is increasing tremendously and affecting the global economy. Therefore, this phenomenon highlights the vital need for enhancing user awareness and robust support at both individual and organizational levels. Phishing URL identification is the best way to address the problem. Various machine learning and deep learning methods have been proposed to …

abstract analysis arxiv attacks convolutional convolutional neural network cs.cr cs.lg cyber cyber attacks cybersecurity economy explainability global global economy highlights industries network neural network organizations phishing systems type urls vital