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Blockchain Smart Contract Security: Threats and Mitigation Strategies in a Lifecycle Perspective
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Blockchain smart contracts: Applications, challenges, and future trends
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Smart contract vulnerability detection based on a semantic code structure and a self-designed neural network
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An overview on smart contracts: Challenges, advances and platforms
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A survey on smart contract vulnerabilities: Data sources, detection and repair
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Ethereum smart contracts: Analysis and statistics of their source code and opcodes
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Survey on blockchain based smart contracts: Applications, opportunities and challenges
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SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart Contracts
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Vulnerability detection techniques for smart contracts: A systematic literature review
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CrossFuzz: Cross-contract fuzzing for smart contract vulnerability detection
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GasFuzzer: Fuzzing Ethereum Smart Contract Binaries to Expose Gas-Oriented Exception Security Vulnerabilities
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Survey on Blockchain-Based Smart Contracts: Technical Aspects and Future Research
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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 of Vulnerability Detection Techniques by Smart Contract Tools
inferredcites →https://doi.org/10.1109/apsec.2018.00099openalex-snapshot
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inferredcites →https://doi.org/10.1109/ase.2019.00133openalex-snapshot
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts
inferredcites →https://doi.org/10.1109/ase51524.2021.9678888openalex-snapshot
SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses
inferredcites →https://doi.org/10.1109/blockchain50366.2020.00048openalex-snapshot
RA: Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis
inferredcites →https://doi.org/10.1109/blockchain53845.2021.00069openalex-snapshot
SECAUCTEE: Securing Auction Smart Contracts using Trusted Execution Environments
inferredcites →https://doi.org/10.1109/blockchain55522.2022.00016openalex-snapshot
SmartMixModel: Machine Learning-based Vulnerability Detection of Solidity Smart Contracts
inferredcites →https://doi.org/10.1109/compsac.2019.10265openalex-snapshot
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ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts
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VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning
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High-Performance Smart Contracts Concurrent Execution for Permissioned Blockchain Using SGX
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SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain
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MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing
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DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection
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SoliAudit: Smart Contract Vulnerability Assessment Based on Machine Learning and Fuzz Testing
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MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract
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inferredcites →https://doi.org/10.1109/ntms.2019.8763832openalex-snapshot
Survey of Formal Verification Methods for Smart Contracts on Blockchain
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inferredcites →https://doi.org/10.1109/qrs54544.2021.00102openalex-snapshot
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SMARTSHIELD: Automatic Smart Contract Protection Made Easy
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AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes
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ContractWard: Automated Vulnerability Detection Models for Ethereum Smart Contracts
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A Survey on Redactable Blockchain: Challenges and Opportunities
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EvoFuzzer: An Evolutionary Fuzzer for Detecting Reentrancy Vulnerability in Smart Contracts
inferredcites →https://doi.org/10.1109/tpds.2023.3263882openalex-snapshot
TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment
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PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation
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Opcode Sequences-Based Smart Contract Vulnerabilities Detection Using Deep Learning
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A Survey on Security Analysis Methods of Smart Contracts
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Challenges and Common Solutions in Smart Contract Development
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Aroc: An Automatic Repair Framework for On-Chain Smart Contracts
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Slither: A Static Analysis Framework for Smart Contracts
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Formal Verification of Smart Contracts
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ÆGIS: Shielding Vulnerable Smart Contracts Against Attacks
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eThor: Practical and Provably Sound Static Analysis of Ethereum Smart Contracts
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inferredcites →https://doi.org/10.1145/3457913.3457920openalex-snapshot
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inferredcites →https://doi.org/10.1145/3460319.3469076openalex-snapshot
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Blockchain Data Storage Optimisations: A Comprehensive Survey
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Demo: Enhancing Smart Contract Security Comprehensively through Dynamic Symbolic Execution
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ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts
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Digital Identity and the Blockchain: Universal Identity Management and the Concept of the “Self-Sovereign” Individual
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A Mechanism to Detect and Prevent Ethereum Blockchain Smart Contract Reentrancy Attacks
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Strengthening the Security of Smart Contracts through the Power of Artificial Intelligence
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A Formal Verification Framework for Security Issues of Blockchain Smart Contracts
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Toward Vulnerability Detection for Ethereum Smart Contracts Using Graph-Matching Network
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Smart Contract Vulnerability Detection Model Based on Multi-Task Learning
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A Novel Smart Contract Vulnerability Detection Method Based on Information Graph and Ensemble Learning
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Understanding a Revolutionary and Flawed Grand Experiment in Blockchain
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SoK: TEE-Assisted Confidential Smart Contract
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DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts
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