SoK: a comprehensive reexamination of phishing research from the security perspective

A Das, S Baki, A El Aassal, R Verma… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …

Feature selection for phishing detection: a review of research

H Zuhair, A Selamat, M Salleh - International Journal of …, 2016 - inderscienceonline.com
Web services motivate phishers to evolve more deceptive websites as their never-ending
threats to users. This intricate challenge enforces researchers to develop more proficient …

A phish detector using lightweight search features

G Varshney, M Misra, PK Atrey - Computers & Security, 2016 - Elsevier
Web phishing is a well-known cyber-attack which is used by attackers to obtain vital
information such as username, password, credit card number, social security number, and/or …

Leverage website favicon to detect phishing websites

KL Chiew, JSF Choo, SN Sze… - Security and …, 2018 - Wiley Online Library
Phishing attack is a cybercrime that can lead to severe financial losses for Internet users and
entrepreneurs. Typically, phishers are fond of using fuzzy techniques during the creation of a …

Application of ensemble Machine Learning models for phishing detection on web networks

N Puri, P Saggar, A Kaur, P Garg - 2022 Fifth International …, 2022 - ieeexplore.ieee.org
Phishing is a technique of fraud and identity stealing that includes convincing Website
visitors to provide confidential info and details such as their user id, secret key, payment info …

Prioritized active learning for malicious url detection using weighted text-based features

SD Bhattacharjee, A Talukder… - … on Intelligence and …, 2017 - ieeexplore.ieee.org
Data analytics is being increasingly used in cyber-security problems, and found to be useful
in cases where data volumes and heterogeneity make it cumbersome for manual …

Frequent rule reduction for phishing URL classification using fuzzy deep neural network model

MS Kumar, B Indrani - Iran Journal of Computer Science, 2021 - Springer
Phishing is an online extensive fraud, which can trick Internet clients into uncovering their
mystery data and qualifications, eg, login id, secret key, charge card number, and so on …

Detection of phishing websites using machine learning

GK Kamalam, P Suresh, R Nivash… - 2022 International …, 2022 - ieeexplore.ieee.org
Criminals seeking sensitive information construct illegal clones of actual websites and e-
mail accounts. The e-mail will be made up of real firm logos and slogans. When a user clicks …

[PDF][PDF] New hybrid features for phish website prediction

H Zuhair, A Selamat, M Salleh - … of Advances in Soft Computing & …, 2016 - researchgate.net
Phishing is a serious threat to the web economy and the Internet communication, because
phishers put both users and organizations at risk of identity theft and financial losses …

[PDF][PDF] SELECTION OF ROBUST FEATURE SUBSETS FOR PHISH WEBPAGE PREDICTION USING MAXIMUM RELEVANCE AND MINIMUM REDUNDANCY …

H Zuhair, A Selamat, M Salleh - Journal of Theoretical & Applied …, 2015 - researchgate.net
Phishers usually evolve their web exploits to defeat current anti-phishing community.
Accordingly, that becomes a serious web threat and puts both users and enterprises at the …