A comprehensive survey of AI-enabled phishing attacks detection techniques

A Basit, M Zafar, X Liu, AR Javed, Z Jalil… - Telecommunication …, 2021 - Springer
In recent times, a phishing attack has become one of the most prominent attacks faced by
internet users, governments, and service-providing organizations. In a phishing attack, the …

Applications of deep learning for phishing detection: a systematic literature review

C Catal, G Giray, B Tekinerdogan, S Kumar… - … and Information Systems, 2022 - Springer
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

BB Gupta, K Yadav, I Razzak, K Psannis… - Computer …, 2021 - Elsevier
In recent times, we can see a massive increase in the number of devices that are being
connected to the internet. These devices include but are not limited to smartphones, IoT, and …

A survey of machine learning-based solutions for phishing website detection

L Tang, QH Mahmoud - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
With the development of the Internet, network security has aroused people's attention. It can
be said that a secure network environment is a basis for the rapid and sound development of …

Ai meta-learners and extra-trees algorithm for the detection of phishing websites

YA Alsariera, VE Adeyemo, AO Balogun… - IEEE …, 2020 - ieeexplore.ieee.org
Phishing is a type of social web-engineering attack in cyberspace where criminals steal
valuable data or information from insensitive or uninformed users of the internet. Existing …

Detecting phishing domains using machine learning

S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
Phishing is an online threat where an attacker impersonates an authentic and trustworthy
organization to obtain sensitive information from a victim. One example of such is trolling …

Phishing happens beyond technology: The effects of human behaviors and demographics on each step of a phishing process

H Abroshan, J Devos, G Poels, E Laermans - IEEE Access, 2021 - ieeexplore.ieee.org
Prior studies have shown that the behaviours and attitudes of Internet users influence the
likelihood of being victimised by phishing attacks. Many scammers design a step-by-step …

Detecting malicious URLs using machine learning techniques: review and research directions

M Aljabri, HS Altamimi, SA Albelali, M Al-Harbi… - IEEE …, 2022 - ieeexplore.ieee.org
In recent years, the digital world has advanced significantly, particularly on the Internet,
which is critical given that many of our activities are now conducted online. As a result of …

Phishing email detection using natural language processing techniques: a literature survey

S Salloum, T Gaber, S Vadera, K Shaalan - Procedia Computer Science, 2021 - Elsevier
Phishing is the most prevalent method of cybercrime that convinces people to provide
sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant …

Phishing attacks detection using machine learning approach

MN Alam, D Sarma, FF Lima, I Saha… - … conference on smart …, 2020 - ieeexplore.ieee.org
Evolving digital transformation has exacerbated cybersecurity threats globally. Digitization
expands the doors wider to cybercriminals. Initially cyberthreats approach in the form of …