Volume 1
Enhancing Trust and Data Security in Autonomous Systems Using Blockchain and Large Language Models
Authors
Rajesh Kumar , Jay Kumar, Gulzaib Baig
Abstract
This paper introduces a framework to enhance trust and data security in healthcare autonomous systems using blockchain and large language models (LLMs). It includes a real-time black box recorder that captures and stores critical medical data, secured by a blockchain-based integrity proof chain for tamper detection. Smart contracts manage secure transactions and data validation, enabling transparent audits. Additionally, the system uses retrieval-augmented generation for natural language explanations of AI decisions, improving transparency. Federated learning enables collaborative AI model improvement across devices without sharing sensitive patient data, addressing key challenges in healthcare data integrity, privacy, and transparency.
Keyword: Blockchain, Federated Learning, Data Security, Autonomous Systems, Healthcare AI
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