Ai-powered fraud detection in decentralized finance: A project life cycle perspective

B Luo, Z Zhang, Q Wang, A Ke, S Lu, B He - ACM Computing Surveys, 2024 - dl.acm.org
Decentralized finance (DeFi) represents a novel financial system but faces significant fraud
challenges, leading to substantial losses. Recent advancements in artificial intelligence (AI) …

Blockchain from the information systems perspective: Literature review, synthesis, and directions for future research

CF Lei, EWT Ngai - Information & Management, 2023 - Elsevier
This paper profiled blockchain studies in information systems (IS) journals from 2016 to
2022. Drawing on the 443 selected articles from 77 IS journals, we proposed a classification …

LGBM: a machine learning approach for Ethereum fraud detection

RM Aziz, MF Baluch, S Patel, AH Ganie - International Journal of …, 2022 - Springer
Ethereum is a software platform that uses the concept of blockchain and decentralizes data
by distributing copies of smart contracts to thousands of individuals worldwide. Ethereum, as …

Cryptocurrencies as a subject of financial fraud

M Kutera - Journal of Entrepreneurship, Management and …, 2022 - ceeol.com
PURPOSE: The main purpose of this paper was to identify the current scope of research on
cryptocurrencies as a subject of fraud. Detailed research questions related to the …

Detection of Ponzi scheme on Ethereum using machine learning algorithms

IJ Onu, AE Omolara, M Alawida, OI Abiodun… - Scientific Reports, 2023 - nature.com
Security threats posed by Ponzi schemes present a considerably higher risk compared to
many other online crimes. These fraudulent online businesses, including Ponzi schemes …

Temporal transaction information-aware Ponzi scheme detection for ethereum smart contracts

L Wang, H Cheng, Z Zheng, A Yang, M Xu - Engineering Applications of …, 2023 - Elsevier
In recent years, the frenetic advances of blockchain techniques have promoted the large-
scale application of cryptocurrency and attracted significant attention in the mushrooming …

Heterogeneous feature augmentation for ponzi detection in ethereum

C **, J **, J Zhou, J Wu, Q Xuan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
While blockchain technology triggers new industrial and technological revolutions, it also
brings new challenges. Recently, a large number of new scams with a “blockchain” sock …

A feature-based robust method for abnormal contracts detection in ethereum blockchain

A Aljofey, A Rasool, Q Jiang, Q Qu - Electronics, 2022 - mdpi.com
Blockchain technology has allowed many abnormal schemes to hide behind smart
contracts. This causes serious financial losses, which adversely affects the blockchain …

Applicability of intrusion detection system on Ethereum attacks: a comprehensive review

AHH Kabla, M Anbar, S Manickam, TA Al-Amiedy… - IEEE …, 2022 - ieeexplore.ieee.org
For many reasons, Ethereum attracts more investors, researchers, and even scammers; this
is the first platform that enables the new Decentralized Applications (DApps) to run on top of …

[HTML][HTML] Of degens and defrauders: Using open-source investigative tools to investigate decentralized finance frauds and money laundering

A Trozze, T Davies, B Kleinberg - Forensic Science International: Digital …, 2023 - Elsevier
Fraud across the decentralized finance (DeFi) ecosystem is growing, with victims losing
billions to DeFi scams every year. However, there is a disconnect between the reported …