Phishing detection: a literature survey

M Khonji, Y Iraqi, A Jones - IEEE Communications Surveys & …, 2013 - ieeexplore.ieee.org
This article surveys the literature on the detection of phishing attacks. Phishing attacks target
vulnerabilities that exist in systems due to the human factor. Many cyber attacks are spread …

An efficient approach for phishing detection using machine learning

E Gandotra, D Gupta - Multimedia security: algorithm development …, 2021 - Springer
The increasing number of phishing attacks is one of the major concerns of security
researchers today. The traditional tools for identifying phishing websites use signature …

Textual and visual content-based anti-phishing: a Bayesian approach

H Zhang, G Liu, TWS Chow… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
A novel framework using a Bayesian approach for content-based phishing web page
detection is presented. Our model takes into account textual and visual contents to measure …

Detection of phishing websites using an efficient feature-based machine learning framework

RS Rao, AR Pais - Neural Computing and applications, 2019 - Springer
Phishing is a cyber-attack which targets naive online users tricking into revealing sensitive
information such as username, password, social security number or credit card number etc …

Identifying phishing attacks in communication networks using URL consistency features

NA Azeez, BB Salaudeen, S Misra… - International …, 2020 - inderscienceonline.com
Phishing is a fraudulent attempt by cybercriminals, where the target audience is addressed
by a text message, phone call or e-mail, requesting classified and sensitive information after …

A novel approach to protect against phishing attacks at client side using auto-updated white-list

AK Jain, BB Gupta - EURASIP Journal on Information Security, 2016 - Springer
Most of the anti-phishing solutions are having two major limitations; the first is the need of a
fast access time for a real-time environment and the second is the need of high detection …

A survey and classification of web phishing detection schemes

G Varshney, M Misra, PK Atrey - Security and Communication …, 2016 - Wiley Online Library
Phishing is a fraudulent technique that is used over the Internet to deceive users with the
goal of extracting their personal information such as username, passwords, credit card, and …

Modeling hybrid feature-based phishing websites detection using machine learning techniques

S Das Guptta, KT Shahriar, H Alqahtani… - Annals of Data …, 2024 - Springer
In this paper, we mainly present a machine learning based approach to detect real-time
phishing websites by taking into account URL and hyperlink based hybrid features to …

Systematization of knowledge (sok): A systematic review of software-based web phishing detection

Z Dou, I Khalil, A Khreishah… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Phishing is a form of cyber attack that leverages social engineering approaches and other
sophisticated techniques to harvest personal information from users of websites. The …

Web phishing detection techniques: a survey on the state‐of‐the‐art, taxonomy and future directions

M Vijayalakshmi, S Mercy Shalinie, MH Yang… - Iet …, 2020 - Wiley Online Library
Internet dragged more than half of the world's population into the cyber world. Unfortunately,
with the increase in internet transactions, cybercrimes also increase rapidly. With the …