Smart Contract Vulnerabilities Detection using Deep Learning

This paper into the critical issue of vulnerability detection in smart contracts, focusing on identifying vulnerabilities, proposing mitigation strategies, and developing techniques for detecting Ponzi schemes within smart contracts. By understanding and addressing these vulnerabilities, we aim to enhance the security and robustness of blockchain-based applications and ecosystems.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1145/3675888.3676070
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.78
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article

Smart Contract Vulnerabilities Detection using Deep Learning

Mukta Goyal, K. P. S. Chauhan, Aryan Patel, Saarthak Maini
1 citations
Blockchain Technology Applications and Security
0.78
article

Smart Contract Vulnerabilities Detection using Deep Learning

Mukta Goyal, K. P. S. Chauhan, Aryan Patel, Saarthak Maini
article en
1 citations

Abstract

This paper into the critical issue of vulnerability detection in smart contracts, focusing on identifying vulnerabilities, proposing mitigation strategies, and developing techniques for detecting Ponzi schemes within smart contracts. By understanding and addressing these vulnerabilities, we aim to enhance the security and robustness of blockchain-based applications and ecosystems.

Jaypee Institute of Information Technology (IN)
Reduced inequalities
Openalex Percentile: Top 20%
Blockchain Technology Applications and Security
0.78
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Smart Contract Vulnerabilities Detection using Deep Learning — Mukta Goyal, K. P. S. Chauhan, et al. · (2024) | TGRS Research Map | TGRS