Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 26, 2024Open Access

Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis

View Full Paper
Ask AI
Bookmark
Share

Authors

DRDalila RessiASAlvise SpanòLBLorenzo Benetollo

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Ressi et al. (2024) studied this question.

synapsesocial.com/papers/68e5ee87b6db643587583036https://doi.org/10.48550/arxiv.2407.18639
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Vulnerability Detection in Smart Contracts: A Comprehensive Survey2024 · 8 citations
  2. 2Ethereum Smart Contract Vulnerability Detection and Machine Learning-Driven Solutions: A Systematic Literature Review2024 · 37 citations
  3. 3Mathematical Analysis of Existing Techniques for Ethereum Smart Contract Vulnerability Detection2024
  4. 4Research on Dynamic Detection of Vulnerabilities in Smart Contracts Based on Machine Learning2024
  5. 5“Vulnerabilities in Smart Contracts: A Detailed Survey of Detection and Mitigation Methodologies”2024 · 3 citations