BioChainReward: A Secure and Incentivised Blockchain Framework for Biomedical Data Sharing

Abstract

In the era of digital healthcare, biomedical data sharing is of paramount importance for the advancement of research and personalised healthcare. However, sharing such data while preserving user privacy and ensuring data security poses significant challenges. This paper introduces BioChainReward (BCR), a blockchain-based framework designed to address these concerns. BCR offers enhanced security, privacy, and incentivisation for data sharing in biomedical applications. Its architecture consists of four distinct layers: data, blockchain, smart contract, and application. The data layer handles the encryption and decryption of data, while the blockchain layer manages data hashing and retrieval. The smart contract layer includes an AI-enabled privacy-preservation sublayer that dynamically selects an appropriate privacy technique, tailored to the nature and purpose of each data request. This layer also features a feedback and incentive mechanism that incentivises patients to share their data by offering rewards. Lastly, the application layer serves as an interface for diverse applications, such as AI-enabled apps and data analysis tools, to access and utilise the shared data. Hence, BCR presents a robust, comprehensive approach to secure, privacy-aware, and incentivised data sharing in the biomedical domain.

A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness

“…Despite significant advancements in both IoT and blockchain and the growing research on their integration into IoT middleware, a clear gap persists. While our previous works, including IoT-MP [8,9], the Biometric Authentication Framework [10], and BCR [12], made progress in certain areas, middleware solutions on the whole still often lack cohesive semantic translation or annotation capabilities. These solutions, although pioneering, underscore the broader challenge of fully integrating security, transparency, and other essential IoT features.…”

“…Further advancements were achieved with [11], which seamlessly incorporated blockchain into the aforementioned framework. This evolution in our research culminated in the introduction of BioChainReward (BCR), a blockchain-based framework for secure and privacy-preserving biomedical data sharing [12]. BCR stands out by implementing an AI-enabled privacy-preservation sublayer, adapting its privacy measures depending on the data request's nature and purpose.…”

Anomaly Detection of Distributed Denial of Service (DDoS) in IoT Network Using Machine Learning

“…Also, behavioral analysis of IoT devices involves pro ling normal behavior and identifying deviations from these pro les, which can indicate DDoS attacks. Elkhodr et al (2023) proposed " BioChainReward: A Secure and Incentivised Blockchain Framework for Biomedical Data Sharing." The paper addresses the critical area of IoT-based healthcare and emphasizes the importance of intrusion detection, which is crucial for patient data security and privacy.…”