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 …
threats to networking environments on a daily basis. During such a severe attack …
Leveraging synthetic data and pu learning for phishing email detection
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
de causar daños graves en sociedades completas. El phishing es uno de ellos, y constituye …