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2021 | OriginalPaper | Buchkapitel

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

verfasst von: Vivek Kumar Prasad, Sudeep Tanwar, Madhuri Bhavsar

Erschienen in: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security

Verlag: Springer Singapore

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Abstract

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.

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Metadaten
Titel
C2B-SCHMS: Cloud Computing and Bots Security for COVID-19 Data and Healthcare Management Systems
verfasst von
Vivek Kumar Prasad
Sudeep Tanwar
Madhuri Bhavsar
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-0733-2_56