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Blockchain provides the unique and accountable channel for financial forensics by mining its open and immutable transaction data. A recent surge has been witnessed by training machine learning models with cryptocurrency transaction data for…

Cryptography and Security · Computer Science 2023-06-13 Youssef Elmougy , Ling Liu

Bitcoin is one of the decentralized cryptocurrencies powered by a peer-to-peer blockchain network. Parties who trade in the bitcoin network are not required to disclose any personal information. Such property of anonymity, however,…

Cryptography and Security · Computer Science 2022-11-29 Zhengjie Huang , Yunyang Huang , Peng Qian , Jianhai Chen , Qinming He

Bitcoin is a cryptocurrency that features a distributed, decentralized and trustworthy mechanism, which has made Bitcoin a popular global transaction platform. The transaction efficiency among nations and the privacy benefiting from address…

Cryptography and Security · Computer Science 2019-03-20 Yu-Jing Lin , Po-Wei Wu , Cheng-Han Hsu , I-Ping Tu , Shih-wei Liao

Bitcoin is built on a blockchain, an immutable decentralised ledger that allows entities (users) to exchange Bitcoins in a pseudonymous manner. Bitcoins are associated with alpha-numeric addresses and are transferred via transactions. Each…

Social and Information Networks · Computer Science 2021-05-20 Jan Alexander Fischer , Andres Palechor , Daniele Dell'Aglio , Abraham Bernstein , Claudio J. Tessone

Bitcoin is a decentralized, pseudonymous cryptocurrency that is one of the most used digital assets to date. Its unregulated nature and inherent anonymity of users have led to a dramatic increase in its use for illicit activities. This…

Cryptography and Security · Computer Science 2019-10-16 Francesco Zola , Maria Eguimendia , Jan Lukas Bruse , Raul Orduna Urrutia

Proliferation of cryptocurrencies (e.g., Bitcoin) that allow pseudo-anonymous transactions, has made it easier for ransomware developers to demand ransom by encrypting sensitive user data. The recently revealed strikes of ransomware attacks…

Cryptography and Security · Computer Science 2019-06-20 Cuneyt Gurcan Akcora , Yitao Li , Yulia R. Gel , Murat Kantarcioglu

The temporal aspect of blockchain transactions enables us to study the address's behavior and detect if it is involved in any illicit activity. However, due to the concept of change addresses (used to thwart replay attacks), temporal…

Cryptography and Security · Computer Science 2021-12-23 Deepesh Chaudhari , Rachit Agarwal , Sandeep Kumar Shukla

In shaping the Internet of Money, the application of blockchain and distributed ledger technologies (DLTs) to the financial sector triggered regulatory concerns. Notably, while the user anonymity enabled in this field may safeguard privacy…

Cryptography and Security · Computer Science 2023-03-21 Nadia Pocher , Mirko Zichichi , Fabio Merizzi , Muhammad Zohaib Shafiq , Stefano Ferretti

The anonymity of blockchain has accelerated the growth of illegal activities and criminal behaviors on cryptocurrency platforms. Although decentralization is one of the typical characteristics of blockchain, we urgently call for effective…

Social and Information Networks · Computer Science 2022-01-25 Jie Shen , Jiajun Zhou , Yunyi Xie , Shanqing Yu , Qi Xuan

Rapid and massive adoption of mobile/ online payment services has brought new challenges to the service providers as well as regulators in safeguarding the proper uses such services/ systems. In this paper, we leverage recent advances in…

Social and Information Networks · Computer Science 2019-06-14 Da Sun Handason Tam , Wing Cheong Lau , Bin Hu , Qiu Fang Ying , Dah Ming Chiu , Hong Liu

In this paper, we propose a blockchain-based computing verification protocol, called EntrapNet, for distributed shared computing networks, an emerging underlying network for many internet of things (IoT) applications. EntrapNet borrows the…

Cryptography and Security · Computer Science 2021-05-04 Chong Li , Lei Zhang , Serbiao Fang

The use of cryptocurrencies has led to an increase in illicit activities such as money laundering, with traditional rule-based approaches becoming less effective in detecting and preventing such activities. In this paper, we propose a novel…

Machine Learning · Computer Science 2024-10-10 Hrushyang Adloori , Vaishnavi Dasanapu , Abhijith Chandra Mergu

Subgraph representation learning is a technique for analyzing local structures (or shapes) within complex networks. Enabled by recent developments in scalable Graph Neural Networks (GNNs), this approach encodes relational information at a…

Machine Learning · Computer Science 2024-07-30 Claudio Bellei , Muhua Xu , Ross Phillips , Tom Robinson , Mark Weber , Tim Kaler , Charles E. Leiserson , Arvind , Jie Chen

Since the creation of Bitcoin, transaction tracking is one of the prominent means for following the movement of Bitcoins involved in illegal activities. Although every Bitcoin transaction is recorded in the blockchain database, which is…

Cryptography and Security · Computer Science 2019-12-06 Tin Tironsakkul , Manuel Maarek , Andrea Eross , Mike Just

Bitcoin (BTC) is probably the most transparent payment network in the world, thanks to the full history of transactions available to the public. Though, Bitcoin is not a fully anonymous environment, rather a pseudonymous one, accounting for…

Cryptography and Security · Computer Science 2021-03-18 Maurantonio Caprolu , Matteo Pontecorvi , Matteo Signorini , Carlos Segarra , Roberto Di Pietro

A key challenge for Bitcoin cryptocurrency holders, such as startups using ICOs to raise funding, is managing their FX risk. Specifically, a misinformed decision to convert Bitcoin to fiat currency could, by itself, cost USD millions. In…

Risk Management · Quantitative Finance 2018-05-15 Cuneyt Akcora , Matthew Dixon , Yulia Gel , Murat Kantarcioglu

The problem of anomaly detection has been studied for a long time. In short, anomalies are abnormal or unlikely things. In financial networks, thieves and illegal activities are often anomalous in nature. Members of a network want to detect…

Machine Learning · Computer Science 2017-02-28 Thai Pham , Steven Lee

Anti-money laundering (AML) regulations play a critical role in safeguarding financial systems, but bear high costs for institutions and drive financial exclusion for those on the socioeconomic and international margins. The advent of…

Social and Information Networks · Computer Science 2019-08-08 Mark Weber , Giacomo Domeniconi , Jie Chen , Daniel Karl I. Weidele , Claudio Bellei , Tom Robinson , Charles E. Leiserson

Cryptocurrencies gained lots of attention mainly because of the anonymous way of online payment, which they suggested. Meanwhile, Bitcoin and other major cryptocurrencies have experienced severe deanonymization attacks. To address these…

Cryptography and Security · Computer Science 2022-04-06 Ardeshir Shojaeenasab , Amir Pasha Motamed , Behnam Bahrak

Criminals have become increasingly experienced in using cryptocurrencies, such as Bitcoin, for money laundering. The use of cryptocurrencies can hide criminal identities and transfer hundreds of millions of dollars of dirty funds through…

Cryptography and Security · Computer Science 2022-10-11 Wai Weng Lo , Gayan K. Kulatilleke , Mohanad Sarhan , Siamak Layeghy , Marius Portmann
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