[HTML][HTML] A systematic literature review on phishing website detection techniques

A Safi, S Singh - Journal of King Saud University-Computer and …, 2023 - Elsevier
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …

Machine learningtechniquesfor detection of website phishing: A review for promises and challenges

A Odeh, I Keshta, E Abdelfattah - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
Websites phishing is a cyber-attack that targets online users to steal their sensitive
informationincluding login credentials and banking details. Attackers fool the users by …

Cloud-based email phishing attack using machine and deep learning algorithm

UA Butt, R Amin, H Aldabbas, S Mohan… - Complex & Intelligent …, 2023 - Springer
Cloud computing refers to the on-demand availability of personal computer system assets,
specifically data storage and processing power, without the client's input. Emails are …

An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey

T Ige, C Kiekintveld, A Piplai - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In this research, we analyzed the suitability of each of the current state-of-the-art machine
learning models for various cyberattack detection from the past 5 years with a major …

An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A …

T Ige, C Kiekintveld, A Piplai, A Waggler… - arXiv preprint arXiv …, 2024 - arxiv.org
Phishing is one of the most effective ways in which cybercriminals get sensitive details such
as credentials for online banking, digital wallets, state secrets, and many more from potential …

Dsmishsms-a system to detect smishing sms

S Mishra, D Soni - Neural Computing and Applications, 2023 - Springer
With the origin of smart homes, smart cities, and smart everything, smart phones came up as
an area of magnificent growth and development. These devices became a part of daily …

Phishing attacks detection using machine learning and deep learning models

M Aljabri, S Mirza - 2022 7th International Conference on Data …, 2022 - ieeexplore.ieee.org
Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …

Detecting Phishing Sites--An Overview

P Kalaharsha, BM Mehtre - arXiv preprint arXiv:2103.12739, 2021 - arxiv.org
Phishing is one of the most severe cyber-attacks where researchers are interested to find a
solution. In phishing, attackers lure end-users and steal their personal in-formation. To …

Highly accurate phishing URL detection based on machine learning

S Jalil, M Usman, A Fong - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Phishing is a persistent and major threat on the internet that is growing steadily and
dangerously. It is a type of cyber-attack, in which phisher mimics a legitimate website page …

Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics

HR Saeidnia, E Hosseini, S Abdoli, M Ausloos - Library Hi Tech, 2024 - emerald.com
Purpose The study aims to analyze the synergy of artificial intelligence (AI), with
scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of …