PDHF: Effective phishing detection model combining optimal artificial and automatic deep features

E Zhu, K Cheng, Z Zhang, H Wang - Computers & Security, 2024 - Elsevier
Currently, the increasing number of high-volume phishing attacks is among the largest
threats to networking environments on a daily basis. During such a severe attack …

Leveraging synthetic data and pu learning for phishing email detection

FZ Qachfar, RM Verma, A Mukherjee - Proceedings of the Twelfth ACM …, 2022 - dl.acm.org
Imbalanced data classification has always been one of the most challenging problems in
data science especially in the cybersecurity field, where we observe an out-of-balance …

PhishHunter: Detecting camouflaged IDN-based phishing attacks via Siamese neural network

M Wang, X Zang, J Cao, B Zhang, S Li - Computers & Security, 2024 - Elsevier
Phishing is one of the significant threats to cybersecurity today, especially when attackers
create Internationalized Domain Names (IDN) homographs to engage in phishing activities …

Web architecture for URL-based phishing detection based on Random Forest, Classification Trees, and Support Vector Machine

JL Piñeiro, LW Portillo - Inteligencia Artificial, 2022 - journal.iberamia.org
Nowadays phishing is as serious a problem as any other, but it has intensified a lot in the
current coronavirus pandemic, a time when more than ever we all use the Internet even to …

Domain-independent deception: A new taxonomy and linguistic analysis

RM Verma, N Dershowitz, V Zeng, D Boumber… - arxiv preprint arxiv …, 2024 - arxiv.org
Internet-based economies and societies are drowning in deceptive attacks. These attacks
take many forms, such as fake news, phishing, and job scams, which we call``domains of …

[PDF][PDF] Phishing Attack Mitigation: A Review and Multiclass Framework Utilizing Deep Learning Techniques

AR Egigogo, I Ismaila, MOAOA Ojeniyi, J Adebayo… - capdr.org
Recently, phishing attacks have become one of the significant cybersecurity threats,
exploiting deception and human vulnerabilities to access sensitive information. This study …

Web architecture for URL-based phishing detection based on Random Forest, Classification Trees, and Support Vector Machin.

JJ Martin Lamas Piñeiro… - … de Inteligencia Artificial, 2022 - search.ebscohost.com
English Nowadays phishing is as serious a problem as any other, but it has intensified a lot
in the current coronavirus pandemic, a time when more than ever we all use the Internet …

phishingutils: Estudio sobre herramientas de detección de phishing en URLs

S Agudelo Bernal - 2024 - uvadoc.uva.es
Los ciberataques son cada vez más frecuentes, complejos y pueden tener mayor potencial
de causar daños graves en sociedades completas. El phishing es uno de ellos, y constituye …