A Secure Multimedia Processing through Blockchain in Smart Healthcare Systems

Author:

Alghazo Jaafar,Rathee Geetanjali,Gupta Sharmidev,Tabrez Quasim Mohammad,Murugan Sivaram,Latif Ghazanfar,Dhasarathan Vigneswaran

Abstract

The rapidly growing, complex and key area of multimedia processing is medical area where the huge amount of patient?s data is disregarded. Further, medial fields used to interrelate with multimedia formats because of their daily real communication. Healthcare associations are renovating themselves into added efficient, coordinated and user-centered methods through several upcoming techniques. Though, the management of large information such as patient information, medical reports escorts to augments the human labors and security hazards. Therefore, to conquer these problems, IoT-healthcare came into existence that enhances the patients care by reducing the cost of resources in an effective way. Along with lot of IoT benefits, associations are afraid to use them because of its compromise initiated by several intruders. For benefiting their own purposes, intruders hack the patient?s online record for selling to third party for doing the researchers analysis. Further, doctors also make the money for their concession by forcing the patients to buy the medicines from their recommended firms. So as to avert these problems, Blockchain technology has been came across in healthcare systems that may keep track of every activity of the entities. The patients and other entities are recognized through bio metric methods so that even if hackers try to compromise the devices or to access the stored information; the patients may easily identify the intruders or alteration in stored record. In this paper, we have projected a secure IoT healthcare mechanism using Blockchain technique that initially identify the patients and other entities using bio metric passwords and further can analyze the modifications in their records. The proposed scheme results have been validated against traditional method by offering 88% success rate over certain parametric scenarios such as grey hole attack, falsification attack and probabilistic authentication scenarios.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture

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