C2B-SCHMS: Cloud Computing and Bots Security for COVID-19 Data and Healthcare Management Systems

Technologies play an essential role in mitigating the physical human need and replacing this with robots (bots). Hence reducing social involvement results in a reduction in COVID-19 patients. This proofs to be safe for the human generation and humanity too. The technological aspects of cloud computing resource management and bots can be used for the management and security of the patient’s data and incorporating intelligent decision support in case of the massive reporting of the patients. As the healthcare sector continues to offer life-critical services while working to improve treatment and patient care with new technologies, criminals and cyber threat actors look to exploit the vulnerabilities that are coupled with this expertise. Healthcare organizations collect and store vast amounts of personal information, making them a primary target for cyber-criminals. In this paper, we will explore and discover the security implications and privacy issues of these health care technologies related to the management of patient’s data. We also describe various security breaches in medical data and used a framework called as C2B-SCHMS which usages machine learning-based isolation graph for handling anomaly. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Traces Detection Of Coronavirus Patients

COVID-19 is a disease caused by a new strain of coronavirus. With the rapid increase in the spread of COVID-19, many people are getting affected by it. As the disease cannot be detected until the affected person doesn't take the COVID-19 test, the person remains unaware that he has been infected by the coronavirus. The person would travel, go to shops, do other activities as well thereby infecting the other people and a potential threat to society. Thus it becomes difficult to trace all the people who have been infected. It is necessary to report all the close contacts of the infected person in the last 14 days. With the increase in the COVID-19 cases, it is very difficult to manually monitor and track down all the contacts of a COVID-19 positive patient. This calls for an autonomous application that will provide information about the person's traces, the people with whom he came in contact with and the places he visited in the last 14 days. This application will help in collecting the data for traces of a COVID-19 positive patient.