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 …

A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities

A Alshamrani, S Myneni, A Chowdhary… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Threats that have been primarily targeting nation states and their associated entities have
expanded the target zone to include the private and corporate sectors. This class of threats …

An intelligent cyber security phishing detection system using deep learning techniques

A Mughaid, S AlZu'bi, A Hnaif, S Taamneh, A Alnajjar… - Cluster …, 2022 - Springer
Recently, phishing attacks have become one of the most prominent social engineering
attacks faced by public internet users, governments, and businesses. In response to this …

Helphed: Hybrid ensemble learning phishing email detection

P Bountakas, C Xenakis - Journal of network and computer applications, 2023 - Elsevier
Phishing email attack is a dominant cyber-criminal strategy for decades. Despite its
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …

Comprehensive review of cybercrime detection techniques

WA Al-Khater, S Al-Maadeed, AA Ahmed… - IEEE …, 2020 - ieeexplore.ieee.org
Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …

Detection of online phishing email using dynamic evolving neural network based on reinforcement learning

S Smadi, N Aslam, L Zhang - Decision Support Systems, 2018 - Elsevier
Despite state-of-the-art solutions to detect phishing attacks, there is still a lack of accuracy for
the detection systems in the online mode which is leading to loopholes in web-based …

[PDF][PDF] A novel hybrid approach of SVM combined with NLP and probabilistic neural network for email phishing

A Kumar, JM Chatterjee, VG Díaz - International Journal of …, 2020 - academia.edu
Phishing attacks are one of the slanting cyber-attacks that apply socially engineered
messages that are imparted to individuals from expert hackers going for tricking clients to …

Machine learning classifiers for network intrusion detection system: comparative study

O Almomani, MA Almaiah, A Alsaaidah… - 2021 International …, 2021 - ieeexplore.ieee.org
Network security risks are increasing at an exponential rate as Internet technology
advances. Kee** the network protected is one of the most challenging of network security …

Email classification research trends: review and open issues

G Mujtaba, L Shuib, RG Raj, N Majeed… - IEEE …, 2017 - ieeexplore.ieee.org
Personal and business users prefer to use e-mail as one of the crucial sources of
communication. The usage and importance of e-mails continuously grow despite the …

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 …