Exploring Smart Contracts based on Web 3.0 Applications with respect to Vulnerability Detection Mechanisms

Abstract

Nowadays web 3.0 can be placed in several domain, such as supply chain management and crypto kitties, which are programs that run on decentralized network and rises vulnerabilities on the system. This paper provides a comprehensive analysis of smart contract vulnerability detection tools and the extent to which they address the spectrum of security threats inherent to Web 3.0. Our findings reveal that integrated tools exhibit superior performance in terms of vulnerability. The paper identifies critical challenges and propose future outlook that emphasizes the importance of collaborative research and the integration of machine learning approaches. We will then compare the existing tools based on their weaknesses coverage and efficiency of discovery. Finally, a case study of the CoGMIN project will be presented for determining and anticipating future research trends. Finally, this report provides recommendations for further research directions regarding the lack of cooperation between current smart contracts on security investigations.