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

Strengthening Smart Contracts: An AI-Driven Security Exploration M. Sai Mohan α , T.L.N Swamy σ & V. Chandu Reddy ρ - 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. Investigating the potential of AI in detecting vulnerabilities, identifying potential attacks, and offering automated solutions for safer smart contracts will significantly contribute to the development and flawless execution of this emerging technology. Keywords: blockchain technology, artificial intelligence, smart contracts (SCs) I. I ntroduction ome of the most popular blockchain platforms include Ethereum, Corda, EOS, and Tron. Each of these platforms has its own unique programming language for creating smart contracts. For example, Ethereum uses the contract-oriented programming language Solidity, which is designed to be as accessible as JavaScript. Hyperledger Fabric utilizes chain code, which can be written in Go, Java, or JavaScript. Corda, on the other hand, employs Kotlin, a language closely associated with Java, for its smart contract development. EOS and Tron utilize C++ and Solidity, respectively, for smart contract development. Different blockchain platforms employ a range of programming languages for smart contract develop- ment, but their common goal is to simplify the process of creating secure and efficient smart contracts that can operate on the blockchain. Smart contracts are software programs stored on a blockchain, and they are designed to execute automatically when certain predefined conditions or events are fulfilled. By doing so, they eliminate the need for intermediaries and ensure that all participants involved can instantly verify the outcome. This automated process brings several advantages, such as faster execution, reduced delays, and increased certainty compared to traditional contract enforcement. The versatility of smart contracts allows them to automate various workflows and initiate subsequent actions based on predetermined conditions, making them an efficient and powerful tool for optimizing processes in a decentralized and trustless environment. However, alongside its disruptive benefits, this technology also faces significant challenges, with security being a top concern. In this context, Artificial Intelligence emerges as a promising and innovative solution to bolster the security of smart contracts. Despite the immense potential of smart contracts, their vulnerabilities have been frequently exploited by malicious actors, resulting in catastrophic consequences. From the infamous DAO hack to various token thefts and vulnerabilities, the smart contract ecosystem has witnessed a string of security breaches that have undermined trust in the technology. Whereas traditional security measures such as manual audits and code reviews have been employed to detect and mitigate smart contract vulnerabilities, these approaches are labour-intensive, time-consuming, They may still overlook certain types of threats. As the smart contract ecosystem continues to evolve and scale, there is an urgent need for more robust and efficient methods to enhance the security of smart contracts. AI has the capability to analyze vast amounts of data, identify patterns, and detect potential vulnerabilities at a scale and speed that surpass human capabilities. By harnessing AI-powered tools and techniques, the smart contract development community can significantly enhance the detection and prevention of security flaws, thereby reinforcing the overall integrity of blockchain-based applications. As we strive to unlock the full potential of blockchain technology, ensuring the security and trustworthiness of smart contracts remains an imperative task. By embracing the power of AI to fortify the security landscape, we can pave the way for a more robust and secure future for decentralized applications, fostering confidence and enabling further innovation in this exciting domain. S © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue II Version I 57 ( )D Year 2023 Author α σ ρ : VIT-AP University, Amaravati, Andhra Pradesh, India. e-mail: msai45371@gmail.com Abstract