Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
Authors: Joerg Osterrieder, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Branka Hadji Misheva, Codruta Mare | Published: 2024-02-17
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Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
Authors: Iker Perez, Jason Wong, Piotr Skalski, Stuart Burrell, Richard Mortier, Derek McAuley, David Sutton | Published: 2024-01-03
FRAUDability: Estimating Users’ Susceptibility to Financial Fraud Using Adversarial Machine Learning
Authors: Chen Doytshman, Satoru Momiyama, Inderjeet Singh, Yuval Elovici, Asaf Shabtai | Published: 2023-12-02
Blockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based Approach
Authors: Tahmid Hasan Pranto, Kazi Tamzid Akhter Md Hasib, Tahsinur Rahman, AKM Bahalul Haque, A. K. M. Najmul Islam, Rashedur M. Rahman | Published: 2022-10-23
Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data
Authors: Gayan K. Kulatilleke, Sugandika Samarakoon | Published: 2022-08-25
Credit card fraud detection – Classifier selection strategy
Authors: Gayan K. Kulatilleke | Published: 2022-08-25
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection
Authors: Gayan K. Kulatilleke | Published: 2022-08-20
Towards Malicious address identification in Bitcoin
Authors: Deepesh Chaudhari, Rachit Agarwal, Sandeep Kumar Shukla | Published: 2021-12-22
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production
Authors: Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi | Published: 2021-07-20 | Updated: 2021-11-04
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users
Authors: Ferenc Béres, István András Seres, András A. Benczúr, Mikerah Quintyne-Collins | Published: 2020-05-28 | Updated: 2020-10-13