Blockchain and AI for Data Security in Distributed Systems
Ranjit Patnaik Sekharamantri, Krishna Narisetty · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: Patients with hepatitis, influenza, cancer, and other deadly diseases are treated in hospitals in developing countries. In the event that a particular disease is encountered, staff can either refer the patient to an expert in that area or, in the absence of a diagnosis, may recommend the patient to the general physician. It is common for the general doctor to identify and eliminate an improbable disease by going through trial and error. A patient goes through this very painful ordeal as the doctors take one disease medication at a time to determine the cause of the symptoms. By using a Data Vendor, developed countries have largely addressed this problem. In this paper, we review all past work related to the provision of data security in networks, particularly those with data brokers. By introducing block chains and artificial intelligence, we can accomplish this best. An analysis of past data integrity methodologies in networks is presented in this article alongside an evaluation of a newer approach.