Emphasizing privacy and security of edge intelligence with machine learning for healthcare
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 17 September 2021
Issue publication date: 2 February 2022
Abstract
Purpose
Artificial Intelligence (AI) has surpassed expectations in opening up different possibilities for machines from different walks of life. Cloud service providers are pushing. Edge computing reduces latency, improving availability and saving bandwidth.
Design/methodology/approach
The exponential growth in tensor processing unit (TPU) and graphics processing unit (GPU) combined with different types of sensors has enabled the pairing of medical technology with deep learning in providing the best patient care. A significant role of pushing and pulling data from the cloud, big data comes into play as velocity, veracity and volume of data with IoT assisting doctors in predicting the abnormalities and providing customized treatment based on the patient electronic health record (EHR).
Findings
The primary focus of edge computing is decentralizing and bringing intelligent IoT devices to provide real-time computing at the point of presence (PoP). The impact of the PoP in healthcare gains importance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of patients. The impact edge computing of the PoP in healthcare gains significance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of patients.
Originality/value
The utility value of sensors data improves through the Laplacian mechanism of preserved PII response to each query from the ODL. The scalability is at 50% with respect to the sensitivity and preservation of the PII values in the local ODL.
Keywords
Citation
Rajendran, S., Mathivanan, S.K., Jayagopal, P., Purushothaman Janaki, K., Manickam Bernard, B.A.M., Pandy, S. and Sorakaya Somanathan, M. (2022), "Emphasizing privacy and security of edge intelligence with machine learning for healthcare", International Journal of Intelligent Computing and Cybernetics, Vol. 15 No. 1, pp. 92-109. https://doi.org/10.1108/IJICC-05-2021-0099
Publisher
:Emerald Publishing Limited
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