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A systematic literature review on phishing email detection using natural language processing techniques
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …
economy. Phishing attacks are now most often carried out by email. To better comprehend …
[HTML][HTML] A systematic review on deep-learning-based phishing email detection
Phishing attacks are a growing concern for individuals and organizations alike, with the
potential to cause significant financial and reputational damage. Traditional methods for …
potential to cause significant financial and reputational damage. Traditional methods for …
{KnowPhish}: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing {Reference-Based} Phishing Detection
Phishing attacks have inflicted substantial losses on individuals and businesses alike,
necessitating the development of robust and efficient automated phishing detection …
necessitating the development of robust and efficient automated phishing detection …
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email
In today's email dependent world, cyber criminals often target organizations using a variety
of social engineering techniques and specially crafted malicious emails. When successful …
of social engineering techniques and specially crafted malicious emails. When successful …
Chatspamdetector: Leveraging large language models for effective phishing email detection
The proliferation of phishing sites and emails poses significant challenges to existing
cybersecurity efforts. Despite advances in malicious email filters and email security …
cybersecurity efforts. Despite advances in malicious email filters and email security …
Internet-based social engineering psychology, attacks, and defenses: A survey
Internet-based social engineering (SE) attacks are a major cyber threat. These attacks often
serve as the first step in a sophisticated sequence of attacks that target, among other things …
serve as the first step in a sophisticated sequence of attacks that target, among other things …
Phishing webpage detection: Unveiling the threat landscape and investigating detection techniques
In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers
employ various tactics to deceive users into gathering their sensitive information, potentially …
employ various tactics to deceive users into gathering their sensitive information, potentially …
Avoiding the hook: influential factors of phishing awareness training on click-rates and a data-driven approach to predict email difficulty perception
Phishing attacks are still seen as a significant threat to cyber security, and large parts of the
industry rely on anti-phishing simulations to minimize the risk imposed by such attacks. This …
industry rely on anti-phishing simulations to minimize the risk imposed by such attacks. This …
[HTML][HTML] Phish responder: A hybrid machine learning approach to detect phishing and spam emails
M Dewis, T Viana - Applied System Innovation, 2022 - mdpi.com
Using technology to prevent cyber-attacks has allowed organisations to somewhat automate
cyber security. Despite solutions to aid organisations, many are susceptible to phishing and …
cyber security. Despite solutions to aid organisations, many are susceptible to phishing and …
Prompted contextual vectors for spear-phishing detection
Spear-phishing attacks present a significant security challenge, with large language models
(LLMs) escalating the threat by generating convincing emails and facilitating target …
(LLMs) escalating the threat by generating convincing emails and facilitating target …