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With the development of Web 3.0 which emphasizes decentralization, blockchain technology ushers in its revolution and also brings numerous challenges, particularly in the field of cryptocurrency. Recently, a large number of criminal…

Machine Learning · Computer Science 2024-04-02 Chengxiang Jin , Jiajun Zhou , Jie Jin , Jiajing Wu , Qi Xuan

With the widespread adoption of Ethereum, financial frauds such as Ponzi schemes have become increasingly rampant in the blockchain ecosystem, posing significant threats to the security of account assets. Existing Ethereum fraud detection…

Cryptography and Security · Computer Science 2025-03-28 Junhao Wu , Yixin Yang , Chengxiang Jin , Silu Mu , Xiaolei Qian , Jiajun Zhou , Shanqing Yu , Qi Xuan

Blockchain technology revolutionizes the Internet, but also poses increasing risks, particularly in cryptocurrency finance. On the Ethereum platform, Ponzi schemes, phishing scams, and a variety of other frauds emerge. Existing Ponzi scheme…

Social and Information Networks · Computer Science 2023-10-03 Chengxiang Jin , Jiajun Zhou , Shengbo Gong , Chenxuan Xie , Qi Xuan

The Ponzi scheme, an old-fashioned fraud, is now popular on the Ethereum blockchain, causing considerable financial losses to many crypto investors. A few Ponzi detection methods have been proposed in the literature, most of which detect a…

Cryptography and Security · Computer Science 2024-07-19 Phuong Duy Huynh , Son Hoang Dau , Xiaodong Li , Phuc Luong , Emanuele Viterbo

With the rapid growth of blockchain, an increasing number of users have been attracted and many implementations have been refreshed in different fields. Especially in the cryptocurrency investment field, blockchain technology has shown…

Cryptography and Security · Computer Science 2021-04-20 Shanqing Yu , Jie Jin , Yunyi Xie , Jie Shen , Qi Xuan

Blockchain technology supports the generation and record of transactions, and maintains the fairness and openness of the cryptocurrency system. However, many fraudsters utilize smart contracts to create fraudulent Ponzi schemes for…

Cryptography and Security · Computer Science 2022-06-17 Jie Jin , Jiajun Zhou , Chengxiang Jin , Shanqing Yu , Ziwan Zheng , Qi Xuan

Ponzi schemes, a form of scam, have been discovered in Ethereum smart contracts in recent years, causing massive financial losses. Existing detection methods primarily focus on rule-based approaches and machine learning techniques that…

Software Engineering · Computer Science 2024-06-04 Ruichao Liang , Jing Chen , Cong Wu , Kun He , Yueming Wu , Weisong Sun , Ruiying Du , Qingchuan Zhao , Yang Liu

Blockchain technology has the characteristics of decentralization, traceability and tamper proof, which creates a reliable decentralized transaction mode, further accelerating the development of the blockchain platforms. However, with the…

Cryptography and Security · Computer Science 2021-12-08 Jiajun Zhou , Chenkai Hu , Shenbo Gong , Jiaying Xu , Jie Shen , Qi Xuan

As blockchain technology becomes more and more popular, a typical financial scam, the Ponzi scheme, has also emerged in the blockchain platform Ethereum. This Ponzi scheme deployed through smart contracts, also known as the smart Ponzi…

Software Engineering · Computer Science 2024-03-01 Pengcheng Lu , Liang Cai , Keting Yin

A smart Ponzi scheme is a new form of economic crime that uses Ethereum smart contract account and cryptocurrency to implement Ponzi scheme. The smart Ponzi scheme has harmed the interests of many investors, but researches on smart Ponzi…

Machine Learning · Computer Science 2021-08-24 Yuzhi Liang , Weijing Wu , Kai Lei , Feiyang Wang

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

While transactions with cryptocurrencies such as Ethereum are becoming more prevalent, fraud and other criminal transactions are not uncommon. Graph analysis algorithms and machine learning techniques detect suspicious transactions that…

Machine Learning · Computer Science 2022-07-05 Hiroki Kanezashi , Toyotaro Suzumura , Xin Liu , Takahiro Hirofuchi

The rampant fraudulent activities on Ethereum hinder the healthy development of the blockchain ecosystem, necessitating the reinforcement of regulations. However, multiple imbalances involving account interaction frequencies and interaction…

Machine Learning · Computer Science 2024-12-25 Chenxiang Jin , Jiajun Zhou , Chenxuan Xie , Shanqing Yu , Qi Xuan , Xiaoniu Yang

Blockchain technology has the characteristics of decentralization, traceability and tamper-proof, which creates a reliable decentralized trust mechanism, further accelerating the development of blockchain finance. However, the anonymization…

Social and Information Networks · Computer Science 2022-11-01 Jiajun Zhou , Chenkai Hu , Jianlei Chi , Jiajing Wu , Meng Shen , Qi Xuan

Ethereum has become one of the primary global platforms for cryptocurrency, playing an important role in promoting the diversification of the financial ecosystem. However, the relative lag in regulation has led to a proliferation of…

Cryptography and Security · Computer Science 2024-07-03 Jiajun Zhou , Xuanze Chen , Shengbo Gong , Chenkai Hu , Chengxiang Jin , Shanqing Yu , Qi Xuan

Fraud detection presents a challenging task characterized by ever-evolving fraud patterns and scarce labeled data. Existing methods predominantly rely on graph-based or sequence-based approaches. While graph-based approaches connect users…

Machine Learning · Computer Science 2024-08-02 Fei Xiao , Shaofeng Cai , Gang Chen , H. V. Jagadish , Beng Chin Ooi , Meihui Zhang

The rapid advancement of blockchain technology has precipitated the widespread adoption of Ethereum and smart contracts across a variety of sectors. However, this has also given rise to numerous fraudulent activities, with many speculators…

Cryptography and Security · Computer Science 2026-02-02 Chunyi Zhang , Qinghong Wei , Xiaoqi Li

On electronic game platforms, different payment transactions have different levels of risk. Risk is generally higher for digital goods in e-commerce. However, it differs based on product and its popularity, the offer type (packaged game,…

Machine Learning · Computer Science 2017-09-21 Bokai Cao , Mia Mao , Siim Viidu , Philip S. Yu

Phishing detection on Ethereum has increasingly leveraged advanced machine learning techniques to identify fraudulent transactions. However, limited attention has been given to understanding the effectiveness of feature selection strategies…

Cryptography and Security · Computer Science 2025-04-28 Ahod Alghuried , Abdulaziz Alghamdi , Ali Alkinoon , Soohyeon Choi , Manar Mohaisen , David Mohaisen

Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishing scam detection methods mostly rely only on the analysis of…

Cryptography and Security · Computer Science 2022-08-30 Jinhuan Wang , Pengtao Chen , Xinyao Xu , Jiajing Wu , Meng Shen , Qi Xuan , Xiaoniu Yang
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