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Enhancing Smart-Contract Security through Machine Learning: A Survey of Approaches and Techniques

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

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A review of research on co‐training
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sCompile: Critical Path Identification and Analysis for Smart Contracts
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Leveraging Applications of Formal Methods, Verification and Validation
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VDDL: A Deep Learning-Based Vulnerability Detection Model for Smart Contracts
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Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
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Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
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Supervised Sequence Labelling with Recurrent Neural Networks
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Support-Vector Networks
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GPT-3: Its Nature, Scope, Limits, and Consequences
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Weakly-Supervised Action Localization, and Action Recognition Using Global–Local Attention of 3D CNN
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Semi-supervised active learning algorithm for SVMs based on QBC and tri-training
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Eth2Vec: Learning contract-wide code representations for vulnerability detection on Ethereum smart contracts
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Smart contract vulnerability detection combined with multi-objective detection
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Deep learning-based malicious smart contract detection scheme for internet of things environment
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Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models
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A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks
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Blockchain-enabled fraud discovery through abnormal smart contract detection on Ethereum
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A novel extended multimodal AI framework towards vulnerability detection in smart contracts
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ASSBert: Active and semi-supervised bert for smart contract vulnerability detection
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Emerging Trends in Blockchain Technology and Applications: A Review and Outlook
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Combine sliced joint graph with graph neural networks for smart contract vulnerability detection
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Efficient k -nearest neighbor search based on clustering and adaptive k values
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Random Forests
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Learning representations by back-propagating errors
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Mastering the game of Go with deep neural networks and tree search
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LIII. On lines and planes of closest fit to systems of points in space
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GPT-4 passes the bar exam
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Information Theory and Statistical Mechanics
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A Survey on Security Verification of Blockchain Smart Contracts
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Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models
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A Consent Model for Blockchain-Based Health Data Sharing Platforms
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Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey
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A Gentle Introduction to Reinforcement Learning and its Application in Different Fields
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Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract
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CodeNet: Code-Targeted Convolutional Neural Network Architecture for Smart Contract Vulnerability Detection
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A Survey on Hardware Vulnerability Analysis Using Machine Learning
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A Systematic Review of Blockchain Applications
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Applicability of Intrusion Detection System on Ethereum Attacks: A Comprehensive Review
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Blockchain Enabled Digital Transformation: A Systematic Literature Review
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GVD-net: Graph embedding-based Machine Learning Model for Smart Contract Vulnerability Detection
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Smart Contract Vulnerability Detection Using Code Representation Fusion
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SmartMixModel: Machine Learning-based Vulnerability Detection of Solidity Smart Contracts
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Smart Contract Vulnerability Detection Based on Deep and Cross Network
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MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities
inferredcites →https://doi.org/10.1109/icbc51069.2021.9461050openalex-snapshot
VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning
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Reentrancy Vulnerability Detection of Smart Contract Based on Bidirectional Sequential Neural Network with Hierarchical Attention Mechanism
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Machine Learning for Software Vulnerability Detection: A Survey
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Detecting Vulnerabilities in Ethereum Smart Contracts with Deep Learning
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SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding
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A new model for learning in graph domains
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DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection
inferredcites →https://doi.org/10.1109/infocomwkshps54753.2022.9798296openalex-snapshot
SCSGuard: Deep Scam Detection for Ethereum Smart Contracts
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A Smart-Contract-Based Access Control Framework for Cloud Smart Healthcare System
inferredcites →https://doi.org/10.1109/jiot.2021.3054866openalex-snapshot
Blockchain-Inspired Secure Computation Offloading in a Vehicular Cloud Network
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A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks
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Trusted Resource Allocation Based on Smart Contracts for Blockchain-Enabled Internet of Things
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BCmaster: A Compatible Framework for Comprehensively Analyzing and Monitoring Blockchain Systems in IoT
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Vulnerability Analysis of Smart Contract for Blockchain-Based IoT Applications: A Machine Learning Approach
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Software Vulnerability Detection Using Deep Neural Networks: A Survey
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Evolutionary Game for Mining Pool Selection in Blockchain Networks
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Machine-learning Approach using Solidity Bytecode for Smart-contract Honeypot Detection in the Ethereum
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Ponzi Contracts Detection Based on Improved Convolutional Neural Network
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Code Will Speak: Early detection of Ponzi Smart Contracts on Ethereum
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Formal Methods for the Verification of Smart Contracts: A Review
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Towards Automatic Exploit Generation for Identifying Re-Entrancy Attacks on Cross-Contract
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Strengthening Supply Chain Visibility With Blockchain: A PRISMA-Based Review
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Hunting Vulnerable Smart Contracts via Graph Embedding Based Bytecode Matching
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Anonymous Reputation System for IIoT-Enabled Retail Marketing Atop PoS Blockchain
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${l}\,^2$-MPTCP: A Learning-Driven Latency-Aware Multipath Transport Scheme for Industrial Internet Applications
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Nearest neighbor pattern classification
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Tri-training: exploiting unlabeled data using three classifiers
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On Inductive–Transductive Learning With Graph Neural Networks
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Detect Defects of Solidity Smart Contract Based on the Knowledge Graph
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SCScan: A SVM-Based Scanning System for Vulnerabilities in Blockchain Smart Contracts
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Checking Smart Contracts With Structural Code Embedding
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The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring
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DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode
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SigRec: Automatic Recovery of Function Signatures in Smart Contracts
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Slither: A Static Analysis Framework for Smart Contracts
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The Regression Analysis of Binary Sequences
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Reducing the Dimensionality of Data with Neural Networks
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Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach
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Effectively Generating Vulnerable Transaction Sequences in Smart Contracts with Reinforcement Learning-guided Fuzzing
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Long Short-Term Memory
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ZEUS: Analyzing Safety of Smart Contracts
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Recurrent neural network based language model
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Feature-rich part-of-speech tagging with a cyclic dependency network
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What points at this work

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

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