Security and privacy in metaverse: A comprehensive survey

Y Huang, YJ Li, Z Cai - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
Metaverse describes a new shape of cyberspace and has become a hot-trending word since
2021. There are many explanations about what Meterverse is and attempts to provide a …

Phishing attacks survey: Types, vectors, and technical approaches

R Alabdan - Future internet, 2020 - mdpi.com
Phishing attacks, which have existed for several decades and continue to be a major
problem today, constitute a severe threat in the cyber world. Attackers are adopting multiple …

Machine learning based phishing detection from URLs

OK Sahingoz, E Buber, O Demir, B Diri - Expert Systems with Applications, 2019 - Elsevier
Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

A survey of phishing attack techniques, defence mechanisms and open research challenges

AK Jain, BB Gupta - Enterprise Information Systems, 2022 - Taylor & Francis
Phishing is an identity theft, which deceives Internet users into revealing their sensitive data,
eg, login information, credit/debit card details, and so on. Researchers have developed …

Applications of deep learning for phishing detection: a systematic literature review

C Catal, G Giray, B Tekinerdogan, S Kumar… - … and Information Systems, 2022 - Springer
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

Deep learning for phishing detection: Taxonomy, current challenges and future directions

NQ Do, A Selamat, O Krejcar, E Herrera-Viedma… - Ieee …, 2022 - ieeexplore.ieee.org
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …

Phishing website detection based on multidimensional features driven by deep learning

P Yang, G Zhao, P Zeng - IEEE access, 2019 - ieeexplore.ieee.org
As a crime of employing technical means to steal sensitive information of users, phishing is
currently a critical threat facing the Internet, and losses due to phishing are growing steadily …

A hybrid DNN–LSTM model for detecting phishing URLs

A Ozcan, C Catal, E Donmez, B Senturk - Neural Computing and …, 2023 - Springer
Phishing is an attack targeting to imitate the official websites of corporations such as banks,
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …

A hybrid CNN-LSTM model for SMS spam detection in arabic and english messages

A Ghourabi, MA Mahmood, QM Alzubi - Future Internet, 2020 - mdpi.com
Despite the rapid evolution of Internet protocol-based messaging services, SMS still remains
an indisputable communication service in our lives until today. For example, several …

Phishing detection system through hybrid machine learning based on URL

A Karim, M Shahroz, K Mustofa, SB Belhaouari… - IEEE …, 2023 - ieeexplore.ieee.org
Currently, numerous types of cybercrime are organized through the internet. Hence, this
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …