Enhancing the Security of Multimodal Fused Data with Blockchain
Piyush Piyush, Kulvinder Singh, Ritik Kumar, Sonal Chhabra, Aanchal Kashyap, Nidhip Goomer · 2024
Blockchain and data fusion synergize for secure, transparent, and optimized integration, revolutionizing information systems and shaping societal dynamics. Proposed solutions involve the implementation of blockchain-based encryption, enforcement of standardized data formats, utilization of decentralized data analysis algorithms, and the development of reward systems on the blockchain. Emphasizing the imperative for further research, the paper underscores the need to assess the feasibility, scalability, and ethical considerations for the successful implementation of these innovative solutions. This research paper delves into the integration of blockchain technology to address key challenges in multimodal data fusion for health monitoring. The study identifies and tackles critical research gaps related to privacy, security, standardization, transparency in data analysis, and incentivizing data sharing. Through this exploration, the research contributes to advancing the security, transparency, and collaborative potential of multimodal health data fusion, thereby fostering more effective and ethical health monitoring practices.