A methodical overview on detection, identification and proactive prevention of phishing websites

MD Bhagwat, PH Patil… - 2021 third international …, 2021 - ieeexplore.ieee.org
Detecting and finding some phishing websites in real-time for a day now is really a dynamic
and nuanced topic involving several variables and requirements. Fuzzy logic strategies may …

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 …

Phishing website detection based on machine learning: A survey

C Singh - 2020 6th International Conference on Advanced …, 2020 - ieeexplore.ieee.org
Phishing attacks are cybercrime in today's world which are done by social engineering and
malware based. It is one of the most dangerous threats that every individuals and …

Detecting phishing websites and targets based on URLs and webpage links

H Yuan, X Chen, Y Li, Z Yang… - 2018 24th International …, 2018 - ieeexplore.ieee.org
In this paper, we propose to extract features from URLs and webpage links to detect
phishing websites and their targets. In addition to the basic features of a given URL, such as …

Phishing email detection model using deep learning

S Atawneh, H Aljehani - Electronics, 2023 - mdpi.com
Email phishing is a widespread cyber threat that can result in the theft of sensitive
information and financial loss. It uses malicious emails to trick recipients into providing …

[PDF][PDF] Detecting phishing attacks using a combined model of LSTM and CNN

S Ariyadasa, S Fernando, S Fernando - Int. J. Adv. Appl. Sci, 2020 - researchgate.net
Phishing, a social engineering crime which has been existing for more than two decades,
has gained significant research attention to find better solutions to face against the very …

A Machine Learning Approach for Phishing Attack Detection

T Choudhary, S Mhapankar, R Bhddha… - Journal of Artificial …, 2023 - ojs.istp-press.com
Phishing is the easiest method for gathering sensitive information from unwary people.
Phishers seek to get private data including passwords, login information, and bank account …

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 …

Learning-based models to detect runtime phishing activities using URLs

SS Sirigineedi, J Soni, H Upadhyay - Proceedings of the 2020 4th …, 2020 - dl.acm.org
Phishing websites are fraudulent sites that impersonate a trusted party to gain access to
sensitive information of an individual person or organization. Traditionally, phishing website …

Mitigating email phishing attacks using convolutional neural networks

R Alotaibi, I Al-Turaiki, F Alakeel - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Phishing detection has gained huge attention from both academia and industry. Damages
and data breaches affecting private and governmental entities caused by email phishing …