Adam Oest

Amazon (Germany) — Germany

Computer Science · Physical Sciences

11h-index676citations34works3.02yr avg
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Research Topics

Spam and Phishing Detection(21), Advanced Malware Detection Techniques(20), Internet Traffic Analysis and Secure E-voting(8), Cybercrime and Law Enforcement Studies(8), Blockchain Technology Applications and Security(4)

Publications34 total

ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
SCAMMAGNIFIER: Piercing the Veil of Fraudulent Shopping Website Campaigns
2025· 1 citedOpen Access
<scp>Browser Polygraph:</scp> Efficient Deployment of Coarse-Grained Browser Fingerprints for Web-Scale Detection of Fraud Browsers
2024· 1 cited
Your IP Camera Can Be Abused for Payments: A Study of IoT Exploitation for Financial Services Leveraging Shodan and Criminal Infrastructures
IEEE Transactions on Consumer Electronics·2024· 2 cited
From Victims to Defenders: An Exploration of the Phishing Attack Reporting Ecosystem
2024· 4 citedOpen Access
Deep Dive into Client-Side Anti-Phishing: A Longitudinal Study Bridging Academia and Industry
2024· 3 cited
Nothing Personal: Understanding the Spread and Use of Personally Identifiable Information in the Financial Ecosystem
2024· 1 cited
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
2024· 6 citedOpen Access
On SMS Phishing Tactics and Infrastructure
2024· 10 cited
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
arXiv (Cornell University)·2024· 2 citedOpen Access
Evaluating the Security Posture of Real-World FIDO2 Deployments
2023· 13 citedOpen Access
Can I Own Your NFTs? Understanding the New Attack Surface to NFTs
IEEE Communications Magazine·2023· 8 cited
Beyond Phish: Toward Detecting Fraudulent e-Commerce Websites at Scale
2023· 15 cited
Advances in IoT Security: Vulnerabilities, Enabled Criminal Services, Attacks, and Countermeasures
IEEE Internet of Things Journal·2023· 109 cited
Analysis of Payment Service Provider SDKs in Android
2022· 1 cited
I'm SPARTACUS, No, I'm SPARTACUS
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security·2022· 17 cited
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
IEEE Security & Privacy·2022· 36 cited
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
arXiv (Cornell University)·2022· 2 citedOpen Access
Table of Contents
IEEE Security & Privacy·2022Open Access
ViK: practical mitigation of temporal memory safety violations through object ID inspection
2022· 10 cited
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Frequent Co-authors

Adam Doupé(19), Yan Shoshitaishvili(16), Gail‐Joon Ahn(14), Tiffany Bao(14), Ruoyu Wang(9), Haehyun Cho(8), Zhibo Sun(8), Brad Wardman(7), Penghui Zhang(5), Alexandros Kapravelos(5), Marzieh Bitaab(5), Muhammad Saad(5), RC Johnson(4), Ruoyu Wang(4), Yeganeh Safaei(3), Shaown Sarker(3), Zhuoer Lyu(3), Thorsten Holz(3), Gianluca Stringhini(3), Yuba R. Siwakoti(2)