Detail publikace

Detecting Smart Contract Vulnerabilities with Combined Binary and Multiclass Classification

MEZINA, A. OMETOV, A.

Originální název

Detecting Smart Contract Vulnerabilities with Combined Binary and Multiclass Classification

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The development of Distributed Ledger Technology (DLT) is pushing toward automating decentralized data exchange processes. One of the key components of this evolutionary step is facilitating smart contracts that, in turn, come with several additional vulnerabilities. Despite the existing tools for analyzing smart contracts, keeping these systems running and preserving performance while maintaining a decent level of security in a constantly increasing number of contracts becomes challenging. Machine Learning (ML) methods could be utilized for analyzing and detecting vulnerabilities in DLTs. This work proposes a new ML-based two-phase approach for the detection and classification of vulnerabilities in smart contracts. Firstly, the system’s operation is set up to filter the valid contracts. Secondly, it focuses on detecting a vulnerability type, if any. In contrast to existing approaches in this field of research, our algorithm is more focused on vulnerable contracts, which allows to save time and computing resources in the production environment. According to the results, it is possible to detect vulnerability types with an accuracy of 0.9921, F1 score of 0.9902, precision of 0.9883, and recall of 0.9921 within reasonable execution time, which could be suitable for integrating existing DLTs.

Klíčová slova

modeling; classification; vulnerability detection; distributed systems

Autoři

MEZINA, A.; OMETOV, A.

Vydáno

7. 7. 2023

Nakladatel

MDPI

Místo

SWITZERLAND

ISSN

2410-387X

Periodikum

Cryptography

Ročník

7

Číslo

3

Stát

Švýcarská konfederace

Strany od

1

Strany do

20

Strany počet

20

URL

https://www.mdpi.com/2410-387X/7/3/34

Plný text v Digitální knihovně

http://hdl.handle.net/11012/213591

BibTex

@article{BUT183983,
  author="Anzhelika {Mezina} and Aleksandr {Ometov}",
  title="Detecting Smart Contract Vulnerabilities with Combined Binary and Multiclass Classification",
  journal="Cryptography",
  year="2023",
  volume="7",
  number="3",
  pages="1--20",
  doi="10.3390/cryptography7030034",
  issn="2410-387X",
  url="https://www.mdpi.com/2410-387X/7/3/34"
}