… current Deep Learning solutions in order to combat phishing attacks, even latest threats,
such as spear phishing attacks. To achieve such attempt, the different Deep Learning solutions …

… for detecting phishing webpages using deep learning approach… is used to predict the
phishing webpages. The dataset was … a deep learning-based approach for detecting phishing …

… In this study, we propose a model to detect phishing attacks using words extracted from the
HTML code of web pages. These are then analyzed and passed through an embedding layer…

… Many types of phishing attacks and algorithms are discussed in this paper. This research
examined email and text phishing attacks and proposed a supervised and deep learning …

… on both machinelearning (ML) and deep-learning (DL) approaches for detecting phishing
e-… proposed in the last few decades to classify phishing e-mails at different stages of crime in a …

… anti-phishing tools to combat phishing attacks; … phishing attacks and also improve the
awareness of active Internet users as to how they can protect themselves against phishing attacks. …

… This paper uses deep learning methods to detect phishing attacks. We believe that other
methods that can effectively identify the logo can be applied to our solution to implement two-…

… the results on deep learning approaches for phishing detection as … of how deep learning
algorithms have been used for phishing … Since some phishing attacks such as spear phishing …

… phishing detection. As a result, this study proposes a taxonomy of deep learning algorithms
for phishing … application of ML in various solutions to detect evolving phishing attacks [1]–[3]. …

… phishing attacks. From the network security reports in recent years, we can see that the
economic losses caused by phishing attacks … deep learning-based framework to detect phishing …