Detection of malicious smart contracts by fine‐tuning GPT‐3
Fuente:
Wiley Open Access
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Artículo Open Access |
| Veröffentlicht: |
Wiley
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1867015585485815808 |
|---|---|
| author | MSVPJ Sathvik Hirak Mazumdar |
| author_facet | MSVPJ Sathvik Hirak Mazumdar MSVPJ Sathvik Hirak Mazumdar |
| collection | Wiley Open Access |
| contents | Detection of malicious smart contracts by fine‐tuning GPT‐3 MSVPJ Sathvik Hirak Mazumdar SECURITY AND PRIVACY AbstractThis paper introduces a comprehensive framework for the detection and identification of malicious smart contracts, emphasizing their vulnerabilities. The framework leverages the capabilities of GPT‐3, which have been adapted and fine‐tuned for binary and multi‐class classification tasks. To the best of our knowledge, this study is the first to explore the use of GPT‐3 specifically for detecting and identifying malicious smart contracts. The framework addresses previously unexplored research questions and provides insightful answers through rigorous experimentation. The contributions of this work include proposing a novel approach, pioneering the adaptation of GPT‐3 for this purpose, and offering valuable insights into the detection of malicious smart contracts and vulnerabilities. Notably, our research reveals that GPT‐3 excels not only in understanding natural language but also in decoding the secrets embedded in numerical codes like opcodes. This finding extends the applicability of GPT‐3 beyond language‐based tasks and highlights its potential in enhancing smart contract security. 10.1002/spy2.430 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/spy2.430 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_spy2_430 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Detection of malicious smart contracts by fine‐tuning GPT‐3 MSVPJ Sathvik Hirak Mazumdar SECURITY AND PRIVACY Detection of malicious smart contracts by fine‐tuning GPT‐3 MSVPJ Sathvik Hirak Mazumdar SECURITY AND PRIVACY AbstractThis paper introduces a comprehensive framework for the detection and identification of malicious smart contracts, emphasizing their vulnerabilities. The framework leverages the capabilities of GPT‐3, which have been adapted and fine‐tuned for binary and multi‐class classification tasks. To the best of our knowledge, this study is the first to explore the use of GPT‐3 specifically for detecting and identifying malicious smart contracts. The framework addresses previously unexplored research questions and provides insightful answers through rigorous experimentation. The contributions of this work include proposing a novel approach, pioneering the adaptation of GPT‐3 for this purpose, and offering valuable insights into the detection of malicious smart contracts and vulnerabilities. Notably, our research reveals that GPT‐3 excels not only in understanding natural language but also in decoding the secrets embedded in numerical codes like opcodes. This finding extends the applicability of GPT‐3 beyond language‐based tasks and highlights its potential in enhancing smart contract security. 10.1002/spy2.430 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Detection of malicious smart contracts by fine‐tuning GPT‐3 |
| topic | SECURITY AND PRIVACY |
| url | https://onlinelibrary.wiley.com/doi/10.1002/spy2.430 |