Results 251 to 260 of about 49,196 (298)

Adaptive Attention-Based Graph Representation Learning to Detect Phishing Accounts on the Ethereum Blockchain

IEEE Transactions on Network Science and Engineering
With Ethereum blockchain advancement, the Ethereum platform gathers numerous users. In this context, traditional phishing appears new fraud methods, resulting in significant losses.
Haojie Sun, Zhaowei Liu, Shenqiang Wang, Haiyang Wang   +3 more
semanticscholar   +1 more source

Decentralization of Ethereum's Builder Market

IEEE Symposium on Security and Privacy
Blockchains protect an ecosystem worth more than $500bn with strong security properties derived from the principle of decentralization. Is today's blockchain decentralized?
Sen Yang, Kartik Nayak, Fan Zhang
semanticscholar   +1 more source

Who Wins Ethereum Block Building Auctions and Why?

Conference on Advances in Financial Technologies
The MEV-Boost block auction contributes approximately 90% of all Ethereum blocks. Between October 2023 and March 2024, only three builders produced 80% of them, highlighting the concentration of power within the block builder market.
Burak Öz, Danning Sui, Thomas Thiery, Florian Matthes   +3 more
semanticscholar   +1 more source

Generative Adversarial Networks for Cyber Threat Hunting in Ethereum Blockchain

Distributed Ledger Technol. Res. Pract., 2023
Ethereum blockchain has shown great potential in providing the next generation of the decentralized platform beyond crypto payments. Recently, it has attracted researchers and industry players to experiment with developing various Web3 applications for ...
Elnaz Rabieinejad, Abbas Yazdinejad, R. Parizi, A. Dehghantanha   +3 more
semanticscholar   +1 more source

Towards Effective Detection of Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph

ACM Transactions on Software Engineering and Methodology
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 utilize static ...
Ruichao Liang, Jing Chen, Cong Wu, Kun He, Yueming Wu, Weisong Sun, Ruiying Du, Qingchuan Zhao, Yang Liu   +8 more
semanticscholar   +1 more source

DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs

The Web Conference
In recent years, money laundering crimes on blockchain, especially on Ethereum, have become increasingly rampant, resulting in substantial losses. The unique features of money laundering on Ethereum, such as decentralization and pseudonymity, pose new ...
Dan-yan Lin, Jiajing Wu, Yunmei Yu, Qishuang Fu, Zibin Zheng, Changlin Yang   +5 more
semanticscholar   +1 more source

GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum

2024 IEEE International Conference on Web Services (ICWS)
The openness and transparency of Ethereum transaction data make it easy to be exploited by any entities, executing malicious attacks. The sandwich attack manipulates the Automated Market Maker (AMM) mechanism, profiting from manipulating the market price
Zekai Liu, Xiaoqi Li, Hongli Peng, Wenkai Li   +3 more
semanticscholar   +1 more source

A Phishing Account Detection Model via Network Embedding for Ethereum

IEEE Transactions on Circuits and Systems - II - Express Briefs
As the first blockchain platform to support smart contracts, Ethereum has gained popularity and breeds various cybercrimes. Many phishing accounts on Ethereum take advantage of the blockchain’s anonymity to participate in illegal acts.
Jintao Luo, Jiwei Qin, Ruijin Wang, Lu Li   +3 more
semanticscholar   +1 more source

Who is Who on Ethereum? Account Labeling Using Heterophilic Graph Convolutional Network

IEEE Transactions on Systems, Man, and Cybernetics: Systems
To combat cybercrimes and maintain financial security for the blockchain ecosystem, “know your customer” (KYC) is an essential and also challenging process due to the pseudonymity nature of blockchain technology.
Dan-yan Lin, Jiajing Wu, Tao Huang, Kai-Xuan Lin, Zibin Zheng   +4 more
semanticscholar   +1 more source

Demistifying Ethereum Technology

2020
A cryptocurrency is a digital or virtual currency designed to work as a medium of exchange. It uses cryptography to secure and verify transactions as well as to control the creation of new units of a particular cryptocurrency. Essentially, cryptocurrencies are limited entries in a database that no one can change unless specific conditions are fulfilled.
Prashant Kumar, Gulshan Shrivastava, Pramod Tanwar   +2 more
openaire   +1 more source