A systematic literature review on phishing email detection using natural language processing techniques

S Salloum, T Gaber, S Vadera, K Shaalan - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] 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 …

{KnowPhish}: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing {Reference-Based} Phishing Detection

Y Li, C Huang, S Deng, ML Lock, T Cao, N Oo… - 33rd USENIX Security …, 2024 - usenix.org
Phishing attacks have inflicted substantial losses on individuals and businesses alike,
necessitating the development of robust and efficient automated phishing detection …

Improving malicious email detection through novel designated deep-learning architectures utilizing entire email

T Muralidharan, N Nissim - Neural Networks, 2023 - Elsevier
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 …

Chatspamdetector: Leveraging large language models for effective phishing email detection

T Koide, N Fukushi, H Nakano, D Chiba - arxiv preprint arxiv:2402.18093, 2024 - arxiv.org
The proliferation of phishing sites and emails poses significant challenges to existing
cybersecurity efforts. Despite advances in malicious email filters and email security …

Internet-based social engineering psychology, attacks, and defenses: A survey

TT Longtchi, RM Rodriguez, L Al-Shawaf… - Proceedings of the …, 2024 - ieeexplore.ieee.org
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 …

Phishing webpage detection: Unveiling the threat landscape and investigating detection techniques

A Kulkarni, V Balachandran… - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
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 …

Avoiding the hook: influential factors of phishing awareness training on click-rates and a data-driven approach to predict email difficulty perception

T Sutter, AS Bozkir, B Gehring, P Berlich - Ieee Access, 2022 - ieeexplore.ieee.org
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 …

[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 …

Prompted contextual vectors for spear-phishing detection

D Nahmias, G Engelberg, D Klein, A Shabtai - arxiv preprint arxiv …, 2024 - arxiv.org
Spear-phishing attacks present a significant security challenge, with large language models
(LLMs) escalating the threat by generating convincing emails and facilitating target …