2021
DOI: 10.1007/s12083-021-01162-x
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A robust and lightweight secure access scheme for cloud based E-healthcare services

Abstract: Traditional healthcare services have transitioned into modern healthcare services where doctors remotely diagnose the patients. Cloud computing plays a significant role in this change by providing easy access to patients’ medical records to all stakeholders, such as doctors, nurses, patients, life insurance agents, etc. Cloud services are scalable, cost-effective, and offer a broad range of mobile access to patients’ electronic health record (EHR). Despite the cloud’s enormous benefits like real-time data acce… Show more

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Cited by 58 publications
(50 citation statements)
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“…A common method bias might exist when the same respondent provided data for both the predictor and the outcome variables, then analyzed using the same instrument. We estimated CMB following the approved procedural and statistical procedures ( Hew et al, 2019 ; Masud et al, 2021 ). Throughout the data gathering process, we maintained the anonymity of our respondents and made it clear that there was no right or wrong answer.…”
Section: Methodsmentioning
confidence: 99%
“…A common method bias might exist when the same respondent provided data for both the predictor and the outcome variables, then analyzed using the same instrument. We estimated CMB following the approved procedural and statistical procedures ( Hew et al, 2019 ; Masud et al, 2021 ). Throughout the data gathering process, we maintained the anonymity of our respondents and made it clear that there was no right or wrong answer.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, some careful and efficient steps must be taken to remedy most of the unwanted noise in the very sensitive information throughout the system. The main beauty of the EEG based signals for biometrics is that there is slightly less noise and artifacts [ 42 ]. The downside of EEG enabled biometrics is that the security level is less reliable when low-cost hardware devices are adopted.…”
Section: Advantages Limitations Tentative Solutions and Recommendationsmentioning
confidence: 99%
“…A feature vector has been generated from the preprocessed image using fuzzy clustering approach [38][39][40][41][42]. It is an unsupervised learning method that identifies the similarity of pixel values without knowing the attribute label used in the cluster overlapping of the image pixel [43][44][45][46][47][48].…”
Section: Feature Extraction Fuzzy Clustering (Fuzzy C Means)mentioning
confidence: 99%