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Analyzing Transaction Confirmation in Ethereum Using Machine Learning Techniques

https://doi.org/10.1145/3466826.3466832
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-981-15-0199-9_9openalex-snapshot
Predicting the Trends of Price for Ethereum Using Deep Learning Techniques
inferredcites →https://doi.org/10.1007/s41109-019-0249-6openalex-snapshot
Quantitative analysis of cryptocurrencies transaction graph
inferredcites →https://doi.org/10.1016/j.cose.2019.101604openalex-snapshot
Am I eclipsed? A smart detector of eclipse attacks for Ethereum
inferredcites →https://doi.org/10.1016/j.future.2017.08.020openalex-snapshot
A survey on the security of blockchain systems
inferredcites →https://doi.org/10.1016/j.ins.2019.10.048openalex-snapshot
Learning imbalanced datasets based on SMOTE and Gaussian distribution
inferredcites →https://doi.org/10.1109/access.2019.2921936openalex-snapshot
A Massive Analysis of Ethereum Smart Contracts Empirical Study and Code Metrics
inferredcites →https://doi.org/10.1109/saner.2017.7884650openalex-snapshot
Under-optimized smart contracts devour your money
inferredcites →https://doi.org/10.1145/3381036openalex-snapshot
Understanding Ethereum via Graph Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4530479openalex-extracted
Machine Learning on Blockchain Data: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1002/asi.70009openalex-snapshot
Machine learning on blockchain data: A systematic mapping study. An Annual Review of Information Science and Technology (ARIST) paper
inferred← citeshttps://doi.org/10.1007/978-981-96-1624-4_10openalex-snapshot
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis
inferred← citeshttps://doi.org/10.1007/978-981-99-3569-7_6openalex-snapshot
Mitigation of Trust-Related Issues in Cryptocurrency Payments Using Machine Learning: A Review
inferred← citeshttps://doi.org/10.1007/s10664-022-10283-7openalex-snapshot
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study
inferred← citeshttps://doi.org/10.1016/j.comcom.2026.108437openalex-snapshot
A multiclass cost–latency aware framework for multi-tiered cloud storage optimization via access pattern forecasting
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120438openalex-snapshot
Mapping user behaviors to identify professional accounts in Ethereum using semi-supervised learning
inferred← citeshttps://doi.org/10.1016/j.future.2021.09.021openalex-snapshot
A user-oriented model for Oracles’ Gas price prediction
inferred← citeshttps://doi.org/10.1016/j.im.2026.104414openalex-snapshot
A stakeholder perspective-based ranking system for assessing the sustainable performance of decentralized applications (DApps)
inferred← citeshttps://doi.org/10.1080/24751839.2023.2250113openalex-snapshot
Prediction of Ethereum gas prices using DeepAR and probabilistic forecasting
inferred← citeshttps://doi.org/10.1109/blockchain53845.2021.00052openalex-snapshot
Identifying User Behavior Profiles in Ethereum Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icbc64466.2025.11185068openalex-snapshot
Unraveling Ethereum’s Mempool: The Impact of Fee Fairness, Transaction Prioritization, and Consensus Efficiency
inferred← citeshttps://doi.org/10.1109/pkia56009.2022.9952297openalex-snapshot
Unconfirmed Transactions in Cryptocurrency: Reasons, Statistics, and Mitigation
inferred← citeshttps://doi.org/10.1109/tifs.2026.3651978openalex-snapshot
Modeling the Performance-Security Trade-Off of Gasper’s Block Proposal Mechanism Under Latency-Driven Attacks
inferred← citeshttps://doi.org/10.1145/3607196openalex-snapshot
A Local-First Approach for Green Smart Contracts
inferred← citeshttps://doi.org/10.1145/3728943openalex-snapshot
Why Does My Transaction Fail? A First Look at Failed Transactions on the Solana Blockchain
inferred← citeshttps://doi.org/10.1145/3772088openalex-snapshot
Comprehensive Evaluation of Adversarial Perturbations against ML-Based Ethereum Phishing Detection Systems
inferred← citeshttps://doi.org/10.31585/jbba-7-2-(3)2024openalex-snapshot
The Evolution and Future of Cryptocurrency-Based Fundraising Mechanisms
inferred← citeshttps://doi.org/10.5753/wblockchain.2021.17129openalex-snapshot
Identificação de perfis de comportamento de usuários no Ethereum utilizando técnicas de aprendizado de máquina
inferred← citeshttps://doi.org/10.5753/wblockchain.2023.735openalex-snapshot
Análise de Características Estruturais de Tokens não Fungíveis no Ethereum
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