Multi-scale semantic deep fusion models for phishing website detection

An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment

(2021) Dong-Jie Liu et al.   COMPUTERS & SECURITY

Accurate and Fast URL Phishing Detector: A Convolutional Neural Network Approach

(2020) Wei Wei et al.   Computer Networks

LogoSENSE: A companion HOG based logo detection scheme for phishing web page and E-mail brand recognition

(2020) Ahmet Selman Bozkir et al.   COMPUTERS & SECURITY

An Effective Phishing Detection Model Based on Character Level Convolutional Neural Network from URL

(2020) Ali Aljofey et al.   Electronics

A Deep-Learning-Driven Light-Weight Phishing Detection Sensor

(2019) Bo Wei et al.   SENSORS

PDRCNN: Precise Phishing Detection with Recurrent Convolutional Neural Networks

(2019) Weiping Wang et al.   Security and Communication Networks

Leverage Website Favicon to Detect Phishing Websites

(2018) Kang Leng Chiew et al.   Security and Communication Networks

Machine Learning Based Phishing Detection from URLs

(2018) Ozgur Koray Sahingoz et al.   EXPERT SYSTEMS WITH APPLICATIONS

A stacking model using URL and HTML features for phishing webpage detection

(2018) Yukun Li et al.   Future Generation Computer Systems-The International Journal of eScience

Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets

(2017) Maciej Wielgosz et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT