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Related papers: Abnormal Trading Detection in the NFT Market

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A non-fungible token (NFT) references a data store location, typically, using a URL or another unique identifier. At the minimum, a NFT is expected to guarantee ownership and control over the tokenised asset. However, information stored on…

Cryptography and Security · Computer Science 2023-01-18 Sarad Venugopalan , Heiko Aydt

Dark web marketplaces (DWMs) are online platforms that facilitate illicit trade among millions of users generating billions of dollars in annual revenue. Recently, two interview-based studies have suggested that DWMs may also promote the…

With the explosive development of decentralized finance, we witness a phenomenal growth in tokenization of all kinds of assets, including equity, funds, debt, and real estate. By taking advantage of blockchain technology, digital assets are…

General Finance · Quantitative Finance 2023-04-21 Seyed Mojtaba Hosseini Bamakan , Nasim Nezhadsistani , Omid Bodaghi , Qiang Qu

I study the price dynamics of non-fungible tokens (NFTs) and propose a deep learning framework for dynamic valuation of NFTs. I use data from the Ethereum blockchain and OpenSea to train a deep learning model on historical trades, market…

Computational Finance · Quantitative Finance 2023-12-12 Mingxuan He

High-frequency trading (HFT) accounts for almost half of equity trading volume, yet it is not identified in public data. We develop novel data-driven measures of HFT activity that separate strategies that supply and demand liquidity. We…

Computational Finance · Quantitative Finance 2025-03-24 G. Ibikunle , B. Moews , D. Muravyev , K. Rzayev

Dark markets are commercial websites that use Bitcoin to sell or broker transactions involving drugs, weapons, and other illicit goods. Being illegal, they do not offer any user protection, and several police raids and scams have caused…

Computers and Society · Computer Science 2021-01-13 Abeer ElBahrawy , Laura Alessandretti , Leonid Rusnac , Daniel Goldsmith , Alexander Teytelboym , Andrea Baronchelli

Money launderers exploit the weaknesses in detection systems by purposefully placing their ill-gotten money into multiple accounts, at different banks. That money is then layered and moved around among mule accounts to obscure the origin…

Machine Learning · Computer Science 2025-01-03 Haseeb Tariq , Marwan Hassani

With growing credit card transaction volumes, the fraud percentages are also rising, including overhead costs for institutions to combat and compensate victims. The use of machine learning into the financial sector permits more effective…

Machine Learning · Computer Science 2022-08-26 Gayan K. Kulatilleke , Sugandika Samarakoon

Security issues are becoming increasingly significant with the rapid evolution of Non-fungible Tokens (NFTs). As NFTs are traded as digital assets, they have emerged as prime targets for cyber attackers. In the development of NFT smart…

Cryptography and Security · Computer Science 2026-01-16 Yuanzheng Niu , Xiaoqi Li , Wenkai Li

The Metaverse, an immersive virtual world, has emerged as a shared space where people engage in various activities ranging from social interactions to commerce. Cryptocurrencies [3] and Non-Fungible Tokens (NFTs) [6] play pivotal roles…

Human-Computer Interaction · Computer Science 2024-05-10 Syed Ali Asif , Emma Cao , Hang Chen , Chien-Chung Shen , Yan-Ming Chiou

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

Insider trading is one of the numerous white collar crimes that can contribute to the instability of the economy. Traditionally, the detection of illegal insider trades has been a human-driven process. In this paper, we collect the insider…

Social and Information Networks · Computer Science 2017-02-21 Adarsh Kulkarni , Priya Mani , Carlotta Domeniconi

Machine learning and AI-assisted trading have attracted growing interest for the past few years. Here, we use this approach to test the hypothesis that the inefficiency of the cryptocurrency market can be exploited to generate abnormal…

Physics and Society · Physics 2019-04-09 Laura Alessandretti , Abeer ElBahrawy , Luca Maria Aiello , Andrea Baronchelli

This study aims to shed light on the rise of play-to-earn games in the Philippines alongside cryptocurrency. The lack of research and public understanding of its benefits and drawbacks prompted the researchers to investigate its market. As…

Computers and Society · Computer Science 2023-04-18 Ryan Francisco , Nelson Rodelas , John Edison Ubaldo

Global illicit fund flows exceed an estimated $3.1 trillion annually, with stablecoins emerging as a preferred laundering medium due to their liquidity. While decentralized protocols increasingly adopt zero-knowledge proofs to obfuscate…

Cryptography and Security · Computer Science 2026-02-23 Luciano Juvinski , Haochen Li , Alessio Brini

At online retail platforms, it is crucial to actively detect the risks of transactions to improve customer experience and minimize financial loss. In this work, we propose xFraud, an explainable fraud transaction prediction framework which…

Machine Learning · Computer Science 2022-05-26 Susie Xi Rao , Shuai Zhang , Zhichao Han , Zitao Zhang , Wei Min , Zhiyao Chen , Yinan Shan , Yang Zhao , Ce Zhang

Credit cards play an exploding role in modern economies. Its popularity and ubiquity have created a fertile ground for fraud, assisted by the cross boarder reach and instantaneous confirmation. While transactions are growing, the fraud…

Cryptography and Security · Computer Science 2022-08-24 Gayan K. Kulatilleke

Many classical blockchains are known to have an embarrassingly low transaction throughput, down to Bitcoin's notorious seven transactions per second limit.Various proposals and implementations for increasing throughput emerged in the first…

Cryptography and Security · Computer Science 2023-03-08 Lioba Heimbach , Quentin Kniep , Yann Vonlanthen , Roger Wattenhofer

In the faceless world of the Internet,online fraud is one of the greatest reasons of loss for web merchants.Advanced solutions are needed to protect e businesses from the constant problems of fraud.Many popular fraud detection algorithms…

Networking and Internet Architecture · Computer Science 2010-06-15 P. Srinivasulu , J. Ranga Rao , I. Ramesh Babu

From viral jokes to a billion-dollar phenomenon, meme coins have become one of the most popular segments in cryptocurrency markets. Unlike utility-focused crypto assets like Bitcoin, meme coins derive value primarily from community…

Trading and Market Microstructure · Quantitative Finance 2026-01-05 Alberto Maria Mongardini , Alessandro Mei