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Enhancing smart contract security: Leveraging pre‐trained language models for advanced vulnerability detection

https://doi.org/10.1049/blc2.12072

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What this work says

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

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Detecting functional and security‐related issues in smart contracts: A systematic literature review

inferredcites →https://doi.org/10.1007/s11227-023-05112-7openalex-snapshot

MAPA BiLSTM-BERT: multi-aspects position aware attention for aspect level sentiment analysis

inferredcites →https://doi.org/10.1016/j.cose.2022.102761openalex-snapshot

Feature fusion-based malicious code detection with dual attention mechanism and BiLSTM

inferredcites →https://doi.org/10.1016/j.jnca.2020.102635openalex-snapshot

Security of Cryptocurrencies in blockchain technology: State-of-art, challenges and future prospects

inferredcites →https://doi.org/10.1016/j.neucom.2023.126488openalex-snapshot

Knowledge-based BERT word embedding fine-tuning for emotion recognition

inferredcites →https://doi.org/10.1049/blc2.12046openalex-snapshot

SCGformer: Smart contract vulnerability detection based on control flow graph and transformer

inferredcites →https://doi.org/10.1049/blc2.12056openalex-snapshot

Ponzi scheme detection in smart contracts using the integration of deep learning and formal verification

inferredcites →https://doi.org/10.1088/2633-1357/abcd29openalex-snapshot

Multi-Class classification of vulnerabilities in smart contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing

inferredcites →https://doi.org/10.1109/access.2019.2899260openalex-snapshot

Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model With Convolution Network

inferredcites →https://doi.org/10.1109/access.2021.3126025openalex-snapshot

Blockchain-Enabled Telehealth Services Using Smart Contracts

inferredcites →https://doi.org/10.1109/access.2022.3174052openalex-snapshot

A Review on Recent Progress of Smart Contract in Blockchain

inferredcites →https://doi.org/10.1109/access.2022.3190963openalex-snapshot

Blockchain-Enabled Social Security Services Using 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/eurosp51992.2021.00018openalex-snapshot

ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts

inferredcites →https://doi.org/10.1109/jiot.2022.3196269openalex-snapshot

Vulnerability Analysis of Smart Contract for Blockchain-Based IoT Applications: A Machine Learning Approach

inferredcites →https://doi.org/10.1109/jiot.2023.3241544openalex-snapshot

Detection of Vulnerabilities of Blockchain Smart Contracts

inferredcites →https://doi.org/10.1109/percomworkshops56833.2023.10150302openalex-snapshot

On the Use of Deep Neural Networks for Security Vulnerabilities Detection in Smart Contracts

inferredcites →https://doi.org/10.1109/tnse.2020.2968505openalex-snapshot

ContractWard: Automated Vulnerability Detection Models for Ethereum Smart Contracts

inferredcites →https://doi.org/10.1109/tr.2022.3161634openalex-snapshot

ReDefender: Detecting Reentrancy Vulnerabilities in Smart Contracts Automatically

inferredcites →https://doi.org/10.1109/tvcg.2020.3028976openalex-snapshot

Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models

inferredcites →https://doi.org/10.1145/2976749.2978309openalex-snapshot

Making Smart Contracts Smarter

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Securify

inferredcites →https://doi.org/10.1145/3274694.3274743openalex-snapshot

Finding The Greedy, Prodigal, and Suicidal Contracts at Scale

inferredcites →https://doi.org/10.1145/3548772openalex-snapshot

Deep Learning in Sentiment Analysis: Recent Architectures

inferredcites →https://doi.org/10.1145/3571847openalex-snapshot

Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features

inferredcites →https://doi.org/10.1287/msom.2022.1123openalex-snapshot

Blockchain-Enabled Deep-Tier Supply Chain Finance

inferredcites →https://doi.org/10.14722/ndss.2018.23082openalex-snapshot

ZEUS: Analyzing Safety of Smart Contracts

inferredcites →https://doi.org/10.3390/s22093577openalex-snapshot

CBGRU: A Detection Method of Smart Contract Vulnerability Based on a Hybrid Model

inferredcites →https://doi.org/10.48550/arxiv.1906.08237openalex-snapshot

XLNet: Generalized Autoregressive Pretraining for Language Understanding

What points at this work

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

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Enhanced security of smart contracts in fog computing: hybrid classifiers and feature selection for improved attack detection for registration and resource access granting

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Smart contract vulnerability detection: utilizing finite element interpolated neural networks for enhanced security in blockchain applications

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A data-driven risk assessment of cybersecurity challenges posed by generative AI

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The role of transformer models in advancing blockchain technology: A systematic survey

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Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities

inferred← citeshttps://doi.org/10.1038/s41598-025-08870-xopenalex-snapshot

An elegant intellectual engine towards automation of blockchain smart contract vulnerability detection

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Robust Vulnerability Detection in Solidity-Based Ethereum Smart Contracts Using Fine-Tuned Transformer Encoder Models

inferred← citeshttps://doi.org/10.1109/bcca62388.2024.10844395openalex-snapshot

RobustEncoder: Leveraging K-Means clustering technique to defend NLP models against backdoor attacks

inferred← citeshttps://doi.org/10.1109/icsist70215.2026.11706022openalex-snapshot

Automated Smart Contract Vulnerability Detection using Hybrid Deep Learning and Language Models

inferred← citeshttps://doi.org/10.1145/3772367openalex-snapshot

Leveraging Machine Learning Models to Improve Smart Contract Security: A Survey of Vulnerabilities and Detection Methods

inferred← citeshttps://doi.org/10.22214/ijraset.2025.71176openalex-snapshot

LegacyGuard: Hybrid LLM, RAG, and Static Analysis for Multi-Lingual Vulnerability Detection in Legacy Codebases

inferred← citeshttps://doi.org/10.3103/s1060992x25700110openalex-snapshot

Reputation-Based Byzantine Fault Tolerance and ElGamal Cryptography with Deep Belief Network on Smart Contract for Secure Blockchain

inferred← citeshttps://doi.org/10.33411/ijist/1243openalex-snapshot

Machine Learning-Based Improvement of Smart Contract Security in Fog Computing Using Word2vec And Bert

inferred← citeshttps://doi.org/10.3390/app15115924openalex-snapshot

Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning

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Securing Blockchain Systems: A Layer-Oriented Survey of Threats, Vulnerability Taxonomy, and Detection Methods

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Advancing Compliance with HIPAA and GDPR in Healthcare: A Blockchain-Based Strategy for Secure Data Exchange in Clinical Research Involving Private Health Information

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Blockchain in Cybersecurity

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