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A Data Science Approach for Honeypot Detection in Ethereum
v1v2 (latest)

A Data Science Approach for Honeypot Detection in Ethereum

3 October 2019
R. Camino
Tim Kahlke
Mathis Baden
R. State
ArXiv (abs)PDFHTML

Papers citing "A Data Science Approach for Honeypot Detection in Ethereum"

6 / 6 papers shown
Title
Analyzing the Impact of Copying-and-Pasting Vulnerable Solidity Code
  Snippets from Question-and-Answer Websites
Analyzing the Impact of Copying-and-Pasting Vulnerable Solidity Code Snippets from Question-and-Answer WebsitesACM/SIGCOMM Internet Measurement Conference (IMC), 2024
Konrad Weiss
Christof Ferreira Torres
Florian Wendland
156
2
0
11 Sep 2024
LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts
LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts
Shoupeng Ren
Tianyu Tu
Jian Liu
Di Wu
Kui Ren
Kui Ren
Chun Chen
AAML
431
9
0
14 Jan 2024
Security Defense For Smart Contracts: A Comprehensive Survey
Security Defense For Smart Contracts: A Comprehensive SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Nikolay Ivanov
Chenning Li
Qiben Yan
Zhi-Guang Sun
Zhichao Cao
Xiapu Luo
246
55
0
14 Feb 2023
Vulnerability and Transaction behavior based detection of Malicious
  Smart Contracts
Vulnerability and Transaction behavior based detection of Malicious Smart Contracts
R. Agarwal
T. Thapliyal
S. Shukla
114
14
0
25 Jun 2021
SCSGuard: Deep Scam Detection for Ethereum Smart Contracts
SCSGuard: Deep Scam Detection for Ethereum Smart ContractsConference on Computer Communications Workshops (INFOCOM), 2021
Huiwen Hu
Yuedong Xu
134
35
0
21 May 2021
On the Convergence of Artificial Intelligence and Distributed Ledger
  Technology: A Scoping Review and Future Research Agenda
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research AgendaIEEE Access (IEEE Access), 2020
Konstantin D. Pandl
Scott Thiebes
Manuel Schmidt-Kraepelin
Ali Sunyaev
228
85
0
29 Jan 2020
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