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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

Fraudulent activities on digital banking services are becoming more intricate by the day, challenging existing defenses. While older rule driven methods struggle to keep pace, even precision focused algorithms fall short when new scams are…

Cryptography and Security · Computer Science 2026-01-21 Karthikeyan V. R. , Premnath S. , Kavinraaj S. , J. Sangeetha

In e-commerce industry, graph neural network methods are the new trends for transaction risk modeling.The power of graph algorithms lie in the capability to catch transaction linking network information, which is very hard to be captured by…

Machine Learning · Computer Science 2022-10-14 Hang Yin , Zitao Zhang , Zhurong Wang , Yilmazcan Ozyurt , Weiming Liang , Wenyu Dong , Yang Zhao , Yinan Shan

The detection of malicious accounts on Ethereum - the preeminent DeFi platform - is critical for protecting digital assets and maintaining trust in decentralized finance. Recent advances highlight that temporal transaction evolution reveals…

Computational Engineering, Finance, and Science · Computer Science 2025-06-26 Ye Tian , Liangliang Song , Peng Qian , Yanbin Wang , Jianguo Sun , Yifan Jia

As the largest blockchain platform that supports smart contracts, Ethereum has developed with an incredible speed. Yet due to the anonymity of blockchain, the popularity of Ethereum has fostered the emergence of various illegal activities…

Computers and Society · Computer Science 2023-03-29 Qishuang Fu , Dan Lin , Yiyue Cao , Jiajing Wu

Smart contract is the building block of blockchain systems that enables automated peer-to-peer transactions and decentralized services. With the increasing popularity of smart contracts, blockchain systems, in particular Ethereum, have been…

Cryptography and Security · Computer Science 2021-05-24 Huiwen Hu , Yuedong Xu

Ethereum smart contracts have recently drawn a considerable amount of attention from the media, the financial industry and academia. With the increase in popularity, malicious users found new opportunities to profit by deceiving newcomers.…

Cryptography and Security · Computer Science 2019-12-23 Ramiro Camino , Christof Ferreira Torres , Mathis Baden , Radu State

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

Blockchain technology has been successfully exploited for deploying new economic applications. However, it has started arousing the interest of malicious actors who deliver scams to deceive honest users and to gain economic advantages.…

Cryptography and Security · Computer Science 2024-04-19 Letterio Galletta , Fabio Pinelli

As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of Ethereum transaction records, however, is still relatively…

Social and Information Networks · Computer Science 2021-01-01 Dan Lin , Jiajing Wu , Qi Yuan , Zibin Zheng

With online payment platforms being ubiquitous and important, fraud transaction detection has become the key for such platforms, to ensure user account safety and platform security. In this work, we present a novel method for detecting…

Machine Learning · Computer Science 2020-03-30 Longfei Li , Ziqi Liu , Chaochao Chen , Ya-Lin Zhang , Jun Zhou , Xiaolong Li

Web-fraud is one of the most unpleasant features of today's Internet. Two well-known examples of fraudulent activities on the web are phishing and typosquatting. Their effects range from relatively benign (such as unwanted ads) to downright…

Cryptography and Security · Computer Science 2015-03-13 Mishari Al Mishari , Emiliano De Cristofaro , Karim El Defrawy , Gene Tsudik

Collaborative fraud, where multiple fraudulent accounts coordinate to exploit online payment systems, poses significant challenges due to the formation of complex network structures. Traditional detection methods that rely solely on…

Machine Learning · Computer Science 2025-12-23 Chi Liu

In recent years, Ethereum gained tremendously in popularity, growing from a daily transaction average of 10K in January 2016 to an average of 500K in January 2020. Similarly, smart contracts began to carry more value, making them appealing…

Cryptography and Security · Computer Science 2021-01-18 Christof Ferreira Torres , Antonio Ken Iannillo , Arthur Gervais , Radu State

Phishing attacks in Web3 ecosystems are increasingly sophisticated, exploiting deceptive contract logic, malicious frontend scripts, and token approval patterns. We present DeepTx, a real-time transaction analysis system that detects such…

Cryptography and Security · Computer Science 2025-10-27 Yixuan Liu , Xinlei Li , Yi Li

Different types of malicious activities have been flagged in multiple permissionless blockchains such as bitcoin, Ethereum etc. While some malicious activities exploit vulnerabilities in the infrastructure of the blockchain, some target its…

Cryptography and Security · Computer Science 2021-01-29 Rachit Agarwal , Tanmay Thapliyal , Sandeep K. Shukla

Money laundering is a global phenomenon with wide-reaching social and economic consequences. Cryptocurrencies are particularly susceptible due to the lack of control by authorities and their anonymity. Thus, it is important to develop new…

Machine Learning · Computer Science 2021-07-22 Catarina Oliveira , João Torres , Maria Inês Silva , David Aparício , João Tiago Ascensão , Pedro Bizarro

Financial fraud has been growing exponentially in recent years. The rise of cryptocurrencies as an investment asset has simultaneously seen a parallel growth in cryptocurrency scams. To detect possible cryptocurrency fraud, and in…

Methodology · Statistics 2025-10-08 Andreas Anastasiou , Ivor Cribben

Cryptocurrencies are rapidly expanding and becoming vital in digital financial markets. However, the rise in cryptocurrency-related illicit activities has led to significant losses for users. To protect the security of these platforms, it…

Machine Learning · Computer Science 2024-07-19 Zhihao Ding , Jieming Shi , Qing Li , Jiannong Cao

Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' privacy. Attackers are constantly devising new methods of…

Cryptography and Security · Computer Science 2024-03-18 Asif Newaz , Farhan Shahriyar Haq , Nadim Ahmed