Enhancing Security and Privacy in Pharmacovigilance with Blockchain

Maithili Devi Reddy and Latha Parthiban

Chapter 13 in The Convergence of Artificial Intelligence and Blockchain Technologies:Challenges and Opportunities, 2022, pp 271-302 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Blockchain provides privacy and security without centralized authority. This work analyzes cryptography applications in blockchain and analyzes efficient sharing of health records using Attribute-Based Encryption (ABE). Secure data sharing of sensitive information stored in cloud is very important as anybody can access it from anywhere in the world. This work aims to provide a secure sharing of medical records in cloud using enhanced Ciphertext Policy (CP-ABE) and Key Policy (KP-ABE) techniques along with data owner specifying the access control policies. In an open-networked system, machine learning algorithms are effectively used in pharmacovigilance to find the Adverse Drug Reaction (ADR). Securing this sensitive data in cloud is very important as PHRs privacy concern is very important.

Keywords: Convergence; Blockchains; Artificial; Intelligence; Big Data; Multi-Agent Systems; Internet of Things; 5G; Cloud Security; Mobile Computing; Social Media; Collaborative Governance; Swarm Robotics; e-Government; Supply Chain Management; Smart Contracts; Cryptocurrencies; Industry 4.0; Tamper-Proof Technology (search for similar items in EconPapers)
JEL-codes: O32 (search for similar items in EconPapers)
Date: 2022
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