Infusing Data Feeds and Models on Blockchain Contracts Through Oracle Based Infrastructure
Shreya Gupta, Kartikey Patiyar, Ankit Shrivastava, Amit Kumar Bairwa · 2024
Recent technological advancements have made many industries more reliant on technology, which has led to an exponential increase in the amount of data generated every day. However, this surge in data has been driven by concerns including data breaches and lack of data management. Data security, integrity, efficient management, and advanced data analysis are the issues that are yet to be solved effectively. The extensive use of Artificial Intelligence (AI) and Centralized data storage have made it more accessible to sensitive information on computer networks and data breaches. This paper aims to address these challenges by ensuring secure data storage, sharing and computation within the systems, services and web browsers by using Big Data tools and frameworks along with AI and merge of Blockchain. The adoption of Blockchain Technology is of paramount importance in providing tamper-proof, ownership-guaranteed data, ensuring secure and dependable data sharing. Additionally, onchain Oracles have been used to improve connectivity from real-world data sources. The use of Big Data frameworks and tools, creates a strong infrastructure for data administration, monitoring, predictions, and analysis. The approach provides increased security, efficient management, and better connection in a decentralized manner.