2 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CR2024★ 2 cited
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà +5
The mainstream adoption of cryptocurrencies has led to a surge in wallet-related issues reported by ordinary users on social media platforms. In parallel, there is an increase in a…
cs.CR2022★ 2 cited
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
Dinil Mon Divakaran, Adam Oest
Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging larg…
cs.CR2021
Scam Pandemic: How Attackers Exploit Public Fear through Phishing
Marzieh Bitaab, Haehyun Cho, Adam Oest +9
As the COVID-19 pandemic started triggering widespread lockdowns across the globe, cybercriminals did not hesitate to take advantage of users' increased usage of the Internet and t…