A new hybrid deep learning-based phishing detection system using MCS-DNN classifier

J Anitha, M Kalaiarasu - Neural Computing and Applications, 2022 - Springer
Phishing is an attack that deceit online users by means of masquerading as a genuine
website to pilfer their classified or personal information. This is one among the recognized …

Efficient deep learning techniques for the detection of phishing websites

M Somesha, AR Pais, RS Rao, VS Rathour - Sādhanā, 2020 - Springer
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 …

A deep learning-based phishing detection system using CNN, LSTM, and LSTM-CNN

Z Alshingiti, R Alaqel, J Al-Muhtadi, QEU Haq… - Electronics, 2023 - mdpi.com
In terms of the Internet and communication, security is the fundamental challenging aspect.
There are numerous ways to harm the security of internet users; the most common is …

Phishing webpage classification via deep learning-based algorithms: an empirical study

NQ Do, A Selamat, O Krejcar, T Yokoi, H Fujita - Applied Sciences, 2021 - mdpi.com
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 …

Phishing website detection: How effective are deep learning‐based models and hyperparameter optimization?

M Almousa, T Zhang, A Sarrafzadeh… - Security and …, 2022 - Wiley Online Library
Phishing websites are fraudulent websites that appear legitimate and trick unsuspecting
users into interacting with them, stealing their valuable information. Because phishing …

Machine learning and nature inspired based phishing detection: a literature survey

AA Akinyelu - International Journal on Artificial Intelligence Tools, 2019 - World Scientific
Phishing detection remains one of the most challenging problems currently faced by cyber
users as sophisticated phishing schemes evolves rapidly. This paper presents a …

The application of a novel neural network in the detection of phishing websites

F Feng, Q Zhou, Z Shen, X Yang, L Han… - Journal of Ambient …, 2024 - Springer
In recent years, security incidents of website occur increasingly frequently, and this
motivates us to study websites' security. Although there are many phishing detection …

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 …

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 …

ML and DL-based Phishing Website Detection: The Effects of Varied Size Datasets and Informative Feature Selection Techniques

K Adane, B Beyene, M Abebe - Journal of Artificial Intelligence …, 2024 - ojs.istp-press.com
One must interact with a specific webpage or website in order to use the Internet for
communication, teamwork, and other productive activities. However, because phishing …