Phishing webpage classification via deep learning-based algorithms: an empirical study
Phishing detection with high-performance accuracy and low computational complexity has
always been a topic of great interest. New technologies have been developed to improve …
always been a topic of great interest. New technologies have been developed to improve …
High accuracy phishing detection based on convolutional neural networks
SY Yerima, MK Alzaylaee - 2020 3rd International Conference …, 2020 - ieeexplore.ieee.org
The persistent growth in phishing and the rising volume of phishing websites has led to
individuals and organizations worldwide becoming increasingly exposed to various cyber …
individuals and organizations worldwide becoming increasingly exposed to various cyber …
Applications of deep learning for phishing detection: a systematic literature review
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …
techniques, and tools such as phishing through content injection, social engineering, online …
[PDF][PDF] Development of a Novel Approach to Phishing Detection Using Machine Learning
AO Taofeek - ATBU Journal of Science, Technology and …, 2024 - researchgate.net
Agboola Olayinka Taofeek Stephen F. Austin State University, Nacogdoches, Texas, USA.
ABSTRACT Protecting and preventing sensitive data from being used appropriately has …
ABSTRACT Protecting and preventing sensitive data from being used appropriately has …
PhishingRTDS: A real-time detection system for phishing attacks using a Deep Learning model
In recent years, phishing attacks have become more intelligent and more challenging to
detect using typical phishing methods. Moreover, attackers have leveraged some web …
detect using typical phishing methods. Moreover, attackers have leveraged some web …
Intelligent phishing detection scheme using deep learning algorithms
Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …
An effective phishing detection model based on character level convolutional neural network from URL
A Aljofey, Q Jiang, Q Qu, M Huang, JP Niyigena - Electronics, 2020 - mdpi.com
Phishing is the easiest way to use cybercrime with the aim of enticing people to give
accurate information such as account IDs, bank details, and passwords. This type of …
accurate information such as account IDs, bank details, and passwords. This type of …
Efficient deep learning techniques for the detection of phishing websites
Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …
sole purpose of gathering sensitive information by masquerading the genuine websites …
Phishing web site detection using diverse machine learning algorithms
Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
Sufficiency of ensemble machine learning methods for phishing websites detection
Y Wei, Y Sekiya - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick
users into downloading malware or providing personally sensitive information to attackers …
users into downloading malware or providing personally sensitive information to attackers …