• PANDULA ANJANEYULU
• MULAKALAPELLI SAI KUMAR
• MUDEDLA SOUMYA
• P. SUNIL

Smart contracts are essential to blockchain-based systems, but they might have flaws that compromise their operation and security. This project offers a cutting-edge method for identifying smart contract vulnerabilities by fusing expert rules and deep learning algorithms. Our technology enhances security and dependability in decentralized systems by automatically detecting possible attacks by utilizing the inherent patterns and abnormalities found in contract code. We show through rigorous testing and validation that our approach is effective in identifying a broad variety of vulnerabilities, providing a strong defense for smart contract ecosystems." Our smart contract vulnerability detection tool, which combines deep learning models and expert rules, provides a proactive way to find and reduce vulnerabilities in blockchain ecosystems. Our solution correctly identifies possible vulnerabilities by examining code structures, semantic patterns, and historical data. This gives developers the ability to proactively mitigate security threats. By means of an extensive assessment on various smart contract datasets, we demonstrate the efficiency and scalability of our methodology in augmenting the resilience and reliability of decentralized applications. Our methodology is well-positioned to strengthen the trustworthiness of blockchain systems, encouraging increased trust and uptake in the emerging field of decentralized technology."Our novel method combines expert rules and deep learning algorithms to produce a powerful smart contract vulnerability detection system. Our technology is able to accurately and efficiently identify possible vulnerabilities in smart contracts on its own by utilizing domain-specific knowledge and neural networks. Our approach combines anomaly detection, semantic analysis, and feature extraction to give developers practical knowledge on how to protect their blockchain-based apps from security risks. Our solution's effectiveness and practicality in protecting decentralized ecosystems, promoting a more secure and dependable environment for blockchain innovation, have been confirmed by extensive testing and real-world case studies.

Smart Contracts,Vulnerability Detection,Deep Learning,Expert Rules,Ethereum,Blockchain Security, Machine Learning,Neural Networks.

"A SMART CONTRACT VULNERABILITY DETECTION MECHANISM BASED ON DEEP LEARNING AND EXPERT RULES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.a454-a458, May-2024, Available :http://www.jetir.org/papers/JETIR2405056.pdf

"A SMART CONTRACT VULNERABILITY DETECTION MECHANISM BASED ON DEEP LEARNING AND EXPERT RULES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppa454-a458, May-2024, Available at : http://www.jetir.org/papers/JETIR2405056.pdf