A new framework for fraud detection in bitcoin transactions through ensemble stacking model in smart cities
Bitcoin has a reputation of being used for unlawful activities, such as money laundering,
dark web transactions, and payments for ransomware in the context of smart cities …
dark web transactions, and payments for ransomware in the context of smart cities …
Blockchain transaction deanonymization using ensemble learning
Bitcoin is a digital currency that provides a way to transact without any trusted intermediary;
however, privacy is an issue. Numerous deanonymization endeavors have been proposed …
however, privacy is an issue. Numerous deanonymization endeavors have been proposed …
FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification
J Nicholls, A Kuppa, NA Le-Khac - … of the 39th Annual Computer Security …, 2023 - dl.acm.org
Illicit activity in cryptocurrency has increased dramatically over the years. Bitcoin mechanics
allow for users to mask their identity through obfuscation techniques. Much research has …
allow for users to mask their identity through obfuscation techniques. Much research has …
Enhancing illicit activity detection using xai: A multimodal graph-llm framework
J Nicholls, A Kuppa, NA Le-Khac - arXiv preprint arXiv:2310.13787, 2023 - arxiv.org
Financial cybercrime prevention is an increasing issue with many organisations and
governments. As deep learning models have progressed to identify illicit activity on various …
governments. As deep learning models have progressed to identify illicit activity on various …
Supervised Machine Learning Framework for Deanonymization of Transactional Entities in Decentralized Infrastructure Environment
A public ledger is used by Bitcoin, a digital currency, to keep track of transactions. The owner
of the Bitcoin keeps their identity secret and is identified only by their unique address. This …
of the Bitcoin keeps their identity secret and is identified only by their unique address. This …