Phishing Website Detection using Multilayer Perceptron

BO Emedolu, G Thomas… - International Journal of …, 2023 - ideas.repec.org
Phishing attacks pose a significant threat in the cyber world, exploiting unsuspecting users
through deceptive emails that lead them to malicious websites. To combat this challenge …

Fishing out the phishing websites

P Mowar, M Jain - 2021 International Conference on Cyber …, 2021 - ieeexplore.ieee.org
Phishing is a cybercrime in which deceitful websites lure naive users and trick them into
disclosing confidential information, such as social media passwords or financial data …

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 …

SmartiPhish: a reinforcement learning-based intelligent anti-phishing solution to detect spoofed website attacks

S Ariyadasa, S Fernando, S Fernando - International Journal of Information …, 2024 - Springer
Phishing, a well-known cyberattack that cannot be completely eradicated from the Internet,
has increased dramatically since the COVID-19 pandemic. Despite previous efforts to …

A deep learning approach to detect phishing websites using CNN for privacy protection

R Zaimi, M Hafidi, M Lamia - Intelligent Decision Technologies, 2023 - content.iospress.com
Nowadays, with the variety of internet frauds, every web user while browsing the net is
vulnerable to being a target of various attacks. The phishing attack is one of the largest and …

An adaptive machine learning based approach for phishing detection using hybrid features

MM Yadollahi, F Shoeleh, E Serkani… - … Conference on Web …, 2019 - ieeexplore.ieee.org
Nowadays, phishing is one of the most usual web threats with regards to the significant
growth of the World Wide Web in volume over time. Phishing attackers always use new (zero …

A Permutaion Importance Based feature selection method and Deep Learning Model to Detect Phishing Websites

R Zaimi, M Hafidi, L Mahnane - 2024 - researchsquare.com
Phishing attacks pose a significant and escalating threat to cybersecurity in recent times.
This deceptive scam aims to trick naive users, luring them into visiting harmful websites and …

Improving the performance of semantic-based phishing detection system through ensemble learning method

A Maini, N Kakwani, B Ranjitha… - 2021 IEEE mysore …, 2021 - ieeexplore.ieee.org
Technology is evolving at an exponential rate, and so are human minds. The innovativeness
in technology has both its advantages and disadvantages. It has made general work easier …

Malicious website detection based on URL classification: A comparative analysis

S Maurya, A Jain - Proceedings of Third International Conference on …, 2022 - Springer
Phishing has been one of the most frequent cyber threats in the recent decade, prompting
an increase in anti-phishing research and the development of numerous solutions for …

Phishing detection: malicious and benign websites classification using machine learning techniques

S Chavan, A Inamdar, A Dorle, S Kulkarni… - … Science and Applications …, 2020 - Springer
In past few years, various fraudulent online websites have been created by attackers to
imitate trustworthy websites, in order to gain private information from users and …