[HTML][HTML] Mitigation strategies against the phishing attacks: A systematic literature review

B Naqvi, K Perova, A Farooq, I Makhdoom… - Computers & …, 2023 - Elsevier
Phishing attacks are among the most prevalent attack mechanisms employed by attackers.
The consequences of successful phishing include (and are not limited to) financial losses …

A systematic review on deep-learning-based phishing email detection

K Thakur, ML Ali, MA Obaidat, A Kamruzzaman - Electronics, 2023 - mdpi.com
Phishing attacks are a growing concern for individuals and organizations alike, with the
potential to cause significant financial and reputational damage. Traditional methods for …

Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection

N Bacanin, M Zivkovic, M Antonijevic… - Complex & Intelligent …, 2023 - Springer
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …

Unbalanced web phishing classification through deep reinforcement learning

A Maci, A Santorsola, A Coscia, A Iannacone - Computers, 2023 - mdpi.com
Web phishing is a form of cybercrime aimed at tricking people into visiting malicious URLs to
exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing …

A phishing-attack-detection model using natural language processing and deep learning

E Benavides-Astudillo, W Fuertes, S Sanchez-Gordon… - Applied Sciences, 2023 - mdpi.com
Phishing is a type of cyber-attack that aims to deceive users, usually using fraudulent web
pages that appear legitimate. Currently, one of the most-common ways to detect these …

Securing web applications against XSS and SQLi attacks using a novel deep learning approach

JR Tadhani, V Vekariya, V Sorathiya, S Alshathri… - Scientific Reports, 2024 - nature.com
Modern web application development involves handling enormous amounts of sensitive and
consequential data. Security is, therefore, a crucial component of developing web …

[PDF][PDF] Web phishing classification using combined machine learning methods

BMP Waseso, NA Setiyanto - Journal of Computing …, 2023 - pdfs.semanticscholar.org
Phishing is a crime that uses social engineering techniques, both in deceptive statements
and technically, to steal consumers' personal identification data and financial account …

Phishing Website URL's Detection Using NLP and Machine Learning Techniques

DS Kuraku, D Kalla - Journal on Artificial Intelligence-Tech Science, 2023 - papers.ssrn.com
Phishing websites present a severe cybersecurity risk since they can lead to financial
losses, data breaches, and user privacy violations. This study uses machine learning …

[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 …

A Machine Learning Approach to Identifying Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques

PJ Uppalapati, BK Gontla, P Gundu… - EAI Endorsed …, 2023 - publications.eai.eu
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To
steal information, users are sent emails and messages. Moreover, websites are used for it …