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Navigating the smart contract threat landscape: a systematic review.

Authors :
Ibekwe, Unyime Ufok
Mbanaso, Uche M.
Nnanna, Nwojo Agwu
Ibrahim, Umar Adam
Source :
Indonesian Journal of Electrical Engineering & Computer Science; Feb2025, Vol. 37 Issue 2, p1209-1224, 16p
Publication Year :
2025

Abstract

Smart contracts have emerged as a transformative technology within the blockchain ecosystem, facilitating the automated and trustless execution of agreements. Their adoption spans diverse sectors such as education, agriculture, healthcare, government, real estate, transportation, supply chain, and global initiatives like Central Bank Digital Currencies (CBDCs). However, the security of smart contracts has become a significant concern, as vulnerabilities in their de-sign and implementation can lead to severe consequences such as financial losses and system failures. This systematic review consolidates findings from 78 selected research articles, identifying key vulnerabilities affecting smart contracts and categorizing them into a taxonomy encompassing code-level, environment-dependent, and user-related vulnerabilities. It also examines the threats that exploit these vulnerabilities and the most effective detection techniques. The domain-based classification presented in this review aims to assist researchers, software engineers, and developers in identifying and mitigating significant security flaws related to the design, implementation, and deployment of smart con-tracts. A comprehensive understanding of these issues is essential for enhancing the security and reliability of the blockchain ecosystem, ultimately fostering the development of more secure and robust decentralized applications for end users. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25024752
Volume :
37
Issue :
2
Database :
Complementary Index
Journal :
Indonesian Journal of Electrical Engineering & Computer Science
Publication Type :
Academic Journal
Accession number :
182815007
Full Text :
https://doi.org/10.11591/ijeecs.v37.i2.pp1209-1224