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 …

[HTML][HTML] 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 …

Don't click: towards an effective anti-phishing training. A comparative literature review

D Jampen, G Gür, T Sutter, B Tellenbach - Human-centric Computing and …, 2020 - Springer
Email is of critical importance as a communication channel for both business and personal
matters. Unfortunately, it is also often exploited for phishing attacks. To defend against such …

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 …

A survey on the optimization of artificial neural networks using swarm intelligence algorithms

BAS Emambocus, MB Jasser, A Amphawan - IEEE access, 2023 - ieeexplore.ieee.org
Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

Phishing email detection model using deep learning

S Atawneh, H Aljehani - Electronics, 2023 - mdpi.com
Email phishing is a widespread cyber threat that can result in the theft of sensitive
information and financial loss. It uses malicious emails to trick recipients into providing …

Classification of phishing attack solutions by employing deep learning techniques: A systematic literature review

E Benavides, W Fuertes, S Sanchez… - … and Advances in Defense …, 2019 - Springer
Phishing is the technique by which the attacker tries to obtain confidential information from
the user, with the purpose of using it fraudulently. These days, three ways to mitigate such …

Web2vec: Phishing webpage detection method based on multidimensional features driven by deep learning

J Feng, L Zou, O Ye, J Han - IEEE Access, 2020 - ieeexplore.ieee.org
Phishing is a kind of online attack that attempts to defraud sensitive information of network
users. Current phishing webpage detection methods mainly use manual feature collection …

Resolving cross-site scripting attacks through genetic algorithm and reinforcement learning

I Tariq, MA Sindhu, RA Abbasi, AS Khattak… - Expert Systems with …, 2021 - Elsevier
Abstract Cross Site Scripting (XSS) is one of the most frequently occurring vulnerability. The
impact of XSS can vary from cosmetic to catastrophic damages. However, detection of XSS …

[HTML][HTML] An application for predicting phishing attacks: A case of implementing a support vector machine learning model

ES Shombot, G Dusserre, R Bestak… - Cyber Security and …, 2024 - Elsevier
The imminent threat that phishing websites poses is a major concern for internet users
worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy …