On sms phishing tactics and infrastructure

A Nahapetyan, S Prasad, K Childs… - … IEEE Symposium on …, 2024‏ - ieeexplore.ieee.org
In 2022, the Anti-Phishing Working Group reported a 70% increase in SMS and voice
phishing attacks. Hard data on SMS phishing is hard to come by, as are insights into how …

Canary in twitter mine: Collecting phishing reports from experts and non-experts

H Nakano, D Chiba, T Koide, N Fukushi… - Proceedings of the 18th …, 2023‏ - dl.acm.org
The rise in phishing attacks via e-mail and short message service (SMS) has not slowed
down at all. The first thing we need to do to combat the ever-increasing number of phishing …

Phishreplicant: A language model-based approach to detect generated squatting domain names

T Koide, N Fukushi, H Nakano, D Chiba - Proceedings of the 39th …, 2023‏ - dl.acm.org
Domain squatting is a technique used by attackers to create domain names for phishing
sites. In recent phishing attempts, we have observed many domain names that use multiple …

Towards understanding and characterizing the arbitrage bot scam in the wild

K Li, S Guan, D Lee - Proceedings of the ACM on Measurement and …, 2023‏ - dl.acm.org
This paper presents the first comprehensive analysis of an emerging cryptocurrency scam
named" arbitrage bot" disseminated on online social networks. The scam revolves around …

Enabling privacy-preserving cyber threat detection with federated learning

Y Bi, Y Li, X Feng, X Mi - arxiv preprint arxiv:2404.05130, 2024‏ - arxiv.org
Despite achieving good performance and wide adoption, machine learning based security
detection models (eg, malware classifiers) are subject to concept drift and evasive evolution …