[PDF][PDF] Detection of phishing websites using naïve Bayes algorithms

G Kamal, M Manna - International Journal of Recent Research and Review, 2018 - ijrrr.com
Phishing websites are form of mimicking the legitimate ones for the purpose of stealing
user's confidential information such as usernames, passwords and credit card information …

A Machine Learning Approach to Identifying Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques

PJ Uppalapati, BK Gontla, P Gundu… - EAI Endorsed …, 2023 - publications.eai.eu
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To
steal information, users are sent emails and messages. Moreover, websites are used for it …

Machine learning based phishing detection from URLs

OK Sahingoz, E Buber, O Demir, B Diri - Expert Systems with Applications, 2019 - Elsevier
Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

[PDF][PDF] A Machine Learning Approach to Identify Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques.

BK Gontla, P Gundu, PJ Uppalapati… - EAI Endorsed …, 2023 - academia.edu
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To
steal information, users are sent emails and messages. Moreover, websites are used for it …

[PDF][PDF] Detection of phishing websites based on feature extraction using machine learning

GN Anil, GO Prakash, KH Manoj, M Lokesh… - Int Res J Eng Technol …, 2020 - academia.edu
Phishing is one of the biggest threats in this era of the internet. Phishing is a smart
mechanism where a legitimate website is cloned and victims are lured to a fake website to …

Detection of phishing websites using machine learning

AR Abbas, S Singh, M Kau - Inventive Communication and Computational …, 2020 - Springer
Phishing is defined as imitating a creditable company's website aiming to take private
information of a user. These phishing websites are to obtain confidential information such as …

Comparison of classification algorithms for detection of phishing websites

P Vaitkevicius, V Marcinkevicius - Informatica, 2020 - content.iospress.com
Phishing activities remain a persistent security threat, with global losses exceeding 2.7
billion USD in 2018, according to the FBI's Internet Crime Complaint Center. In literature …

Phishing website detection from URLs using classical machine learning ANN model

S Salloum, T Gaber, S Vadera, K Shaalan - International Conference on …, 2021 - Springer
Phishing is a serious form of online fraud made up of spoofed websites that attempt to gain
users' sensitive information by tricking them into believing that they are visiting a legitimate …

[PDF][PDF] On determining the most effective subset of features for detecting phishing websites

D Hassan - International Journal of Computer Applications, 2015 - Citeseer
Phishing websites are a form of mimicking the legitimate ones for the purpose of stealing
user's confidential information such as usernames, passwords and credit card information …

Hybrid approach for phishing website detection using classification algorithms

MM Raj, JAA Jothi - ParadigmPlus, 2022 - journals.itiud.org
The internet has significantly altered how we work and interact with one another. Statistics
show 63.1% of the present world population are internet users. This clearly indicates how …