Global Journal of Computer Science and Technology, D: Neural & Artificial Intelligence, Volume 23 Issue 2

© 2023. M. Sai Mohan, T. L. N Swamy & V. Chandu Reddy. This research/review article is distributed under the terms of the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BYNCND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https://creativecommons.org/ licenses/by-nc-nd/4.0/. Global Journal of Computer Science and Technology : D Neural & Artificial Intelligence Volume 23 Issue 2 Version 1.0 Year 2023 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Strengthening Smart Contracts: An AI-Driven Security Exploration By M. Sai Mohan, T. L. N Swamy & V. Chandu Reddy VIT-AP University StrengtheningSmartContractsAnAIDrivenSecurityExploration Strictly as per the compliance and regulations of: Abstract- Smart contracts are automated agreements in which the conditions between the purchaser and the vendor are encoded directly into lines of code, allowing them to execute automatically. Smart contracts have emerged as a ground-breaking technology, facilitating the decentralized and trustless execution of agreements on blockchain platforms. However, the widespread adoption of smart contracts exposes them to various security threats, leading to substantial financial losses and reputational harm. Artificial Intelligence has the capability to aid in the detection and reduction of vulnerabilities, thereby enhancing the overall strength and resilience of smart contracts. This integration can create highly secure and transparent systems that reduce the risk of fraud, corruption, and other malicious activities, thereby increasing trust and confidence in these systems and improving overall security. This research paper delves into the innovative applications of Artificial Intelligence techniques to enhance the security of smart contracts. Keywords: blockchain technology, artificial intelligence, smart contracts (SCs). GJCST-D Classification: LCC Code: QA75.5-76.95