Market manipulation detection: A systematic literature review

S Khodabandehlou, SAH Golpayegani - Expert Systems with Applications, 2022 - Elsevier
Market manipulation through buy-and-sell has always been and persists to be a serious
challenge for market participants and supervisors, and as markets are expanded, the …

NFT Wash Trading: Quantifying suspicious behaviour in NFT markets

V von Wachter, JR Jensen, F Regner… - … Conference on Financial …, 2022 - Springer
The smart contract-based markets for non-fungible tokens (NFTs) on the Ethereum
blockchain have seen tremendous growth in 2021, with trading volumes peaking at …

Detecting and quantifying wash trading on decentralized cryptocurrency exchanges

F Victor, AM Weintraud - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Cryptoassets such as cryptocurrencies and tokens are increasingly traded on decentralized
exchanges. The advantage for users is that the funds are not in custody of a centralized …

Nftdisk: Visual detection of wash trading in nft markets

X Wen, Y Wang, X Yue, F Zhu, M Zhu - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets,
various fraudulent activities have appeared in NFT markets. Among them, wash trading has …

Token Spammers, Rug Pulls, and Sniper Bots: An Analysis of the Ecosystem of Tokens in Ethereum and in the Binance Smart Chain ({{{{{BNB}}}}})

F Cernera, M La Morgia, A Mei, F Sassi - 32nd USENIX Security …, 2023 - usenix.org
In this work, we perform a longitudinal analysis of the BNB Smart Chain and Ethereum
blockchain from their inception to March 2022. We study the ecosystem of the tokens and …

Cyber physical security analytics for transactive energy systems

Y Zhang, VVG Krishnan, J Pi, K Kaur… - … on Smart Grid, 2019 - ieeexplore.ieee.org
With the significant increase in integration of renewable energy generation into the electric
grid, market-based transactive exchanges between energy producers and prosumers will …

End-to-end incomplete time-series modeling from linear memory of latent variables

Q Ma, S Li, L Shen, J Wang, J Wei, Z Yu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Time series with missing values (incomplete time series) are ubiquitous in real life on
account of noise or malfunctioning sensors. Time-series imputation (replacing missing data) …

Accurate and complexity-effective spatial pattern prediction

CF Chen, SH Yang, B Falsafi… - … Symposium on High …, 2004 - ieeexplore.ieee.org
Recent research suggests that there are large variations in a cache's spatial usage, both
within and across programs. Unfortunately, conventional caches typically employ fixed …

Entropic dynamic time warping kernels for co-evolving financial time series analysis

L Bai, L Cui, Z Zhang, L Xu, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Network representations are powerful tools to modeling the dynamic time-varying financial
complex systems consisting of multiple co-evolving financial time series, eg, stock prices. In …

Finding suspicious activities in financial transactions and distributed ledgers

RD Camino, R State, L Montero… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Banks and financial institutions around the world must comply with several policies for the
prevention of money laundering and in order to combat the financing of terrorism …