Phishing URL detection via capsule-based neural network
As a cyber attack which leverages social engineering and other sophisticated techniques to
steal sensitive information from users, phishing attack has been a critical threat to cyber …
steal sensitive information from users, phishing attack has been a critical threat to cyber …
MOE/RF: a novel phishing detection model based on revised multiobjective evolution optimization algorithm and random forest
To effectively boost computer usage, machine learning models are used in several phishing
detection systems to classify enormous phishing datasets. Based on phishing patterns …
detection systems to classify enormous phishing datasets. Based on phishing patterns …
Phishing email detection using improved RCNN model with multilevel vectors and attention mechanism
Y Fang, C Zhang, C Huang, L Liu, Y Yang - IEEE Access, 2019 - ieeexplore.ieee.org
The phishing email is one of the significant threats in the world today and has caused
tremendous financial losses. Although the methods of confrontation are continually being …
tremendous financial losses. Although the methods of confrontation are continually being …
Deep learning for phishing detection: Taxonomy, current challenges and future directions
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
Phishing attacks have inflicted substantial losses on individuals and businesses alike,
necessitating the development of robust and efficient automated phishing detection …
necessitating the development of robust and efficient automated phishing detection …
Hybrid phishing detection using joint visual and textual identity
In recent years, phishing attacks have evolved considerably, causing existing adversarial
features that were widely utilised for detecting phishing websites to become less …
features that were widely utilised for detecting phishing websites to become less …
[PDF][PDF] Deep learning in phishing mitigation: a uniform resource locator-based predictive model
H Salah, H Zuhair - International Journal of Electrical and Computer …, 2023 - academia.edu
To mitigate the evolution of phish websites, various phishing prediction8 schemes are being
optimized eventually. However, the optimized methods produce gratuitous performance …
optimized eventually. However, the optimized methods produce gratuitous performance …
Phishing attacks detection using deep learning approach
In the COVID-19 pandemic, people are enforced to adopt 'work from home'policy. The
Internet has become an effective channel for social interactions nowadays. Peoples' …
Internet has become an effective channel for social interactions nowadays. Peoples' …
Lightweight URL-based phishing detection using natural language processing transformers for mobile devices
Hackers are increasingly launching phishing attacks via SMS and social media. Games and
dating apps introduce yet another attack vector. However, current deep learning-based …
dating apps introduce yet another attack vector. However, current deep learning-based …
Machine learningtechniquesfor detection of website phishing: A review for promises and challenges
Websites phishing is a cyber-attack that targets online users to steal their sensitive
informationincluding login credentials and banking details. Attackers fool the users by …
informationincluding login credentials and banking details. Attackers fool the users by …