Security threat mitigation for smart contracts: A comprehensive survey

N Ivanov, C Li, Q Yan, Z Sun, Z Cao, X Luo - ACM Computing Surveys, 2023 - dl.acm.org
The blockchain technology, initially created for cryptocurrency, has been re-purposed for
recording state transitions of smart contracts—decentralized applications that can be …

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) …

On the convergence of artificial intelligence and distributed ledger technology: A scoping review and future research agenda

KD Pandl, S Thiebes, M Schmidt-Kraepelin… - IEEE …, 2020 - ieeexplore.ieee.org
Developments in artificial intelligence (AI) and distributed ledger technology (DLT) currently
lead to lively debates in academia and practice. AI processes data to perform tasks that were …

Detecting ethereum Ponzi schemes based on improved LightGBM algorithm

Y Zhang, W Yu, Z Li, S Raza… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As more investors adopt to enter the field of blockchain investment, the Ponzi scheme, a
traditional investment scam, has emerged as a hidden fraud in smart contracts. Although …

An updated survey on the convergence of distributed ledger technology and artificial intelligence: Current state, major challenges and future direction

JS Bellagarda, AM Abu-Mahfouz - IEEE Access, 2022 - ieeexplore.ieee.org
In recent times, Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) have
become two of the most discussed sectors in Information Technology, with each having …

Image-based scam detection method using an attention capsule network

L Bian, L Zhang, K Zhao, H Wang, S Gong - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, the rapid development of blockchain technology has attracted much
attention from people around the world. Scammers take advantage of the pseudo-anonymity …

Code will speak: Early detection of Ponzi smart contracts on Ethereum

Y Zhang, S Kang, W Dai, S Chen… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
The prevalence of Bitcoin has attracted a mass of investors into the blockchain ecosystem.
Unfortunately, benefiting from its anonymity and immutability, scammers deploy various …

Detecting arbitrage on ethereum through feature fusion and positive-unlabeled learning

H Jin, C Li, J Xiao, T Zhang, X Dai… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Due to the lack of supervision in the decentralized exchanges (DEXs), arbitrageurs can
utilize information and take advantage of price gap to make profits over such platforms such …

Evaluating machine-learning techniques for detecting smart ponzi schemes

G Ibba, GA Pierro… - 2021 IEEE/ACM 4th …, 2021 - ieeexplore.ieee.org
Ethereum is one of the most popular platforms for exchanging cryptocurrencies as well as
the most established for peer to peer programming and smart contracts publishing [3]. The …

EtherShield: Time-interval Analysis for Detection of Malicious Behavior on Ethereum

B Pan, N Stakhanova, Z Zhu - ACM Transactions on Internet Technology, 2024 - dl.acm.org
Advances in blockchain technology have attracted significant attention across the world. The
practical blockchain applications emerging in various domains, ranging from finance …