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Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems
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 …
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
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 …
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 …
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
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 …
cyber threats, this study examines the use of deep learning-based intrusion detection …
Email Spam Classification Based on Deep Learning Methods: A Review
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 …
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
Email phishing remains a prevalent and sophisticated cyber threat, targeting individuals and
organizations by disguising malicious intent in seemingly legitimate communications …
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 …
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 …
sophisticated tactics that target individuals and organizations alike. This paper explores the …
AI tools building cybercrime & defenses
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 …
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 …
pervasive threat, exploiting human vulnerabilities and technological weaknesses. These …