Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems

EH Tusher, MA Ismail, MA Rahman, AH Alenezi… - IEEE …, 2024 - ieeexplore.ieee.org
Nowadays, emails are used across almost every field, spanning from business to education.
Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk …

Advancing phishing email detection: A comparative study of deep learning models

N Altwaijry, I Al-Turaiki, R Alotaibi, F Alakeel - Sensors, 2024 - mdpi.com
Phishing is one of the most dangerous attacks targeting individuals, organizations, and
nations. Although many traditional methods for email phishing detection exist, there is a …

A comprehensive literature review on phishing URL detection using deep learning techniques

E Kritika - Journal of Cyber Security Technology, 2024 - Taylor & Francis
Strong and efficient defences have to be developed in response to the more-sophisticated
phishing attempts is deep learning algorithms. The extensive analysis, which spans 41 …

[HTML][HTML] Deep Learning vs. Machine Learning for Intrusion Detection in Computer Networks: A Comparative Study

ML Ali, K Thakur, S Schmeelk, J Debello, D Dragos - Applied Sciences, 2025 - mdpi.com
In response to the increasing volume of network traffic and the growing sophistication of
cyber threats, this study examines the use of deep learning-based intrusion detection …

Email Spam Classification Based on Deep Learning Methods: A Review

EH Tusher, MA Ismail… - Iraqi Journal for …, 2025 - ijcsm.researchcommons.org
Email spam is a significant issue confronting both email consumers and providers. The
evolution of spam filtering has progressed considerably, transitioning from basic rule-based …

LogiTriBlend: A Novel Hybrid Stacking Approach for Enhanced Phishing Email Detection Using ML Models and Vectorization Approach

A Khalid, M Hanif, A Hameed, ZA Smiee… - IEEE …, 2024 - ieeexplore.ieee.org
Email phishing remains a prevalent and sophisticated cyber threat, targeting individuals and
organizations by disguising malicious intent in seemingly legitimate communications …

A Comprehensive Survey of Recent Phishing Attacks Detection Techniques

S Priya, D Gutema, S Singh - 2024 5th International …, 2024 - ieeexplore.ieee.org
Phishing attacks lead to fraudulent acquisition of user credentials, which is turn result in
potential harm to reputation and financial security of individuals and organization. The initial …

[PDF][PDF] Enhancing phishing threat detection and resilience: Leveraging machine learning, ai, and user education in cybersecurity

F Dine - 2024 - researchgate.net
Phishing remains one of the most pervasive and evolving cyber threats, with increasingly
sophisticated tactics that target individuals and organizations alike. This paper explores the …

AI tools building cybercrime & defenses

AS Kamruzzaman, K Thakur… - … Conference on Artificial …, 2024 - ieeexplore.ieee.org
Developments of Artificial Intelligence (AI) have reformed the future of Cybersecurity, aiding
both offensive and defensive security. While AI assists supplement security and bridge the …

[PDF][PDF] Enhancing Cyber Security Resilience: Phishing Defense and the Importance of Measurement Strategies

F Sharif - 2024 - researchgate.net
In an era marked by increasing digital transformation, phishing attacks have emerged as a
pervasive threat, exploiting human vulnerabilities and technological weaknesses. These …