Security and privacy in metaverse: A comprehensive survey
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 …
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 …
problem today, constitute a severe threat in the cyber world. Attackers are adopting multiple …
Machine learning based phishing detection from URLs
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 …
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 …
eg, login information, credit/debit card details, and so on. Researchers have developed …
Applications of deep learning for phishing detection: a systematic literature review
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …
techniques, and tools such as phishing through content injection, social engineering, online …
Deep learning for phishing detection: Taxonomy, current challenges and future directions
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 …
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
Phishing website detection based on multidimensional features driven by deep learning
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 …
currently a critical threat facing the Internet, and losses due to phishing are growing steadily …
A hybrid DNN–LSTM model for detecting phishing URLs
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 …
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
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 …
an indisputable communication service in our lives until today. For example, several …
Phishing detection system through hybrid machine learning based on URL
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 …
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …