IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Building an IPFS and Blockchain-Based Decentralized Storage Model for Medical Imaging

Building an IPFS and Blockchain-Based Decentralized Storage Model for Medical Imaging
View Sample PDF
Author(s): Randhir Kumar (Department of Information Technology, National Institute of Technology, Raipur, India)and Rakesh Tripathi (Department of Information Technology, National Institute of Technology, Raipur, India)
Copyright: 2021
Pages: 22
Source title: Advancements in Security and Privacy Initiatives for Multimedia Images
Source Author(s)/Editor(s): Ashwani Kumar (Vardhaman College of Engineering, India)and Seelam Sai Satyanarayana Reddy (Vardhaman College of Engineering, India)
DOI: 10.4018/978-1-7998-2795-5.ch002

Purchase

View Building an IPFS and Blockchain-Based Decentralized Storage Model for Medical Imaging on the publisher's website for pricing and purchasing information.

Abstract

Currently, sharing and access of medical imaging is a significant element of present healthcare systems, but the existing infrastructure of medical image sharing depends on third-party approval. In this chapter, the authors have proposed a framework in order to provide a decentralized storage model for medical image sharing through IPFS and blockchain technology that remove the hurdle of third-party dependency. In the proposed model, the authors are sharing the imaging and communications in medicine (DICOM) medical images, which consist of various information related to disease, and hence, the framework can be utilized in the real-time application of the healthcare system. Moreover, the framework maintains the feature of immutability, privacy, and availability of information owing to the blockchain-based decentralized storage model. Furthermore, the authors have also discussed how the information can be accessed by the peers in the blockchain network with the help of consensus. To implement the framework, they have used the python ask and anaconda python.

Related Content

Nithin Kalorth, Vidya Deshpande. © 2024. 7 pages.
Nitesh Behare, Vinayak Chandrakant Shitole, Shubhada Nitesh Behare, Shrikant Ganpatrao Waghulkar, Tabrej Mulla, Suraj Ashok Sonawane. © 2024. 24 pages.
T.S. Sujith. © 2024. 13 pages.
C. Suganya, M. Vijayakumar. © 2024. 11 pages.
B. Harry, Vijayakumar Muthusamy. © 2024. 19 pages.
Munise Hayrun Sağlam, Ibrahim Kirçova. © 2024. 19 pages.
Elif Karakoç Keskin. © 2024. 19 pages.
Body Bottom