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 …

Phishing detection: a literature survey

M Khonji, Y Iraqi, A Jones - IEEE Communications Surveys & …, 2013 - ieeexplore.ieee.org
This article surveys the literature on the detection of phishing attacks. Phishing attacks target
vulnerabilities that exist in systems due to the human factor. Many cyber attacks are spread …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arXiv preprint arXiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Fighting against phishing attacks: state of the art and future challenges

BB Gupta, A Tewari, AK Jain, DP Agrawal - Neural Computing and …, 2017 - Springer
In the last few years, phishing scams have rapidly grown posing huge threat to global
Internet security. Today, phishing attack is one of the most common and serious threats over …

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 …

Machine learning techniques applied to cybersecurity

J Martínez Torres, C Iglesias Comesaña… - International Journal of …, 2019 - Springer
Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …

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 …

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 …

A survey of phishing email filtering techniques

A Almomani, BB Gupta, S Atawneh… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
Phishing email is one of the major problems of today's Internet, resulting in financial losses
for organizations and annoying individual users. Numerous approaches have been …

Classification of phishing email using random forest machine learning technique

AA Akinyelu, AO Adewumi - Journal of Applied Mathematics, 2014 - Wiley Online Library
Phishing is one of the major challenges faced by the world of e‐commerce today. Thanks to
phishing attacks, billions of dollars have been lost by many companies and individuals. In …