Large language models for forecasting and anomaly detection: A systematic literature review

J Su, C Jiang, X **, Y Qiao, T **ao, H Ma… - arxiv preprint arxiv …, 2024 - arxiv.org
This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

The art of cybercrime community research

J Hughes, S Pastrana, A Hutchings, S Afroz… - ACM Computing …, 2024 - dl.acm.org
In the last decade, cybercrime has risen considerably. One key factor is the proliferation of
online cybercrime communities, where actors trade products and services, and also learn …

Crawlphish: Large-scale analysis of client-side cloaking techniques in phishing

P Zhang, A Oest, H Cho, Z Sun… - … IEEE Symposium on …, 2021 - ieeexplore.ieee.org
Phishing is a critical threat to Internet users. Although an extensive ecosystem serves to
protect users, phishing websites are growing in sophistication, and they can slip past the …

" Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences

D Olszewski, A Lu, C Stillman, K Warren… - Proceedings of the …, 2023 - dl.acm.org
Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Scam pandemic: How attackers exploit public fear through phishing

M Bitaab, H Cho, A Oest, P Zhang, Z Sun… - … on Electronic Crime …, 2020 - ieeexplore.ieee.org
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 …

[PDF][PDF] Understanding and analyzing appraisal systems in the underground marketplaces

Z Li, X Liao - NDSS, 2024 - xiao**gliao.com
An appraisal system is a feedback mechanism that has gained popularity in underground
marketplaces. This system allows appraisers, who receive free samples from vendors, to …

Nothing Personal: Understanding the Spread and Use of Personally Identifiable Information in the Financial Ecosystem

M Zaeifi, F Kalantari, A Oest, Z Sun, GJ Ahn… - Proceedings of the …, 2024 - dl.acm.org
Online services leverage various authentication methods with differing usability and
reliability trade-offs, such as password-based or multi-factor authentication (MFA). However …

All your shops are belong to us: security weaknesses in e-commerce platforms

R Pagey, M Mannan, A Youssef - … of the ACM web conference 2023, 2023 - dl.acm.org
Software as a Service (SaaS) e-commerce platforms for merchants allow individual business
owners to set up their online stores almost instantly. Prior work has shown that the checkout …

PostCog: A tool for interdisciplinary research into underground forums at scale

I Pete, J Hughes, A Caines, AV Vu… - 2022 IEEE European …, 2022 - ieeexplore.ieee.org
Underground forums provide useful insights into cybercrime, where researchers analyse
underlying economies, key actors, their discussions and interactions, as well as different …

A graph-based stratified sampling methodology for the analysis of (underground) forums

G Di Tizio, GA Siu, A Hutchings… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Researchers analyze underground forums to study abuse and cybercrime activities. Due to
the size of the forums and the domain expertise required to identify criminal discussions …