2020
DOI: 10.1016/j.jisa.2020.102528
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Securing electronic healthcare records: A mobile-based biometric authentication approach

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Cited by 23 publications
(16 citation statements)
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“…They explored the drawbacks of various secure techniques and future research directions. Hathaliya et al (2020) presented a self-authenticated mobile-based healthcare system. The proposed system ensures mutual authentication and user verification but not resilient to access control and network scalability.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…They explored the drawbacks of various secure techniques and future research directions. Hathaliya et al (2020) presented a self-authenticated mobile-based healthcare system. The proposed system ensures mutual authentication and user verification but not resilient to access control and network scalability.…”
Section: Related Workmentioning
confidence: 99%
“… Did not give any practical secure architecture. Hattaliya et al ( Hathaliya et al, 2020 ) 2020 Proposed a self-authenticated mobile-based healthcare system Achieve mutual authentication and user verification. Did not achieve access control and scalability.…”
Section: Related Workmentioning
confidence: 99%
“…Nonetheless, the inherited security and privacy risks from both the IoT and Cloud Computing domains are driving enormous apprehension from the end-users, such as with the case of patients in healthcare applications [ 19 ]. As a result, biometric-based authentication models can help mitigating these risks given their unique identification characteristics and their ease of use as they are almost transparent to the user [ 20 ]. Due to the delicate quality and dependability of a single biometric trait-based system, the usage of multiple biometric features is gaining momentum [ 21 ].…”
Section: Background and Motivationsmentioning
confidence: 99%
“…Healthcare data is useless when it is only raw data without any analysis or transforming it into information because a large amount of data cannot give the users or healthcare providers any output that can be used as a decision [30]. Wearable devices data can be analyzed with many available methods to be presented to the users [31]. Many research studies proved the use of ambient displays of wearable devices to make the parameters more understandable by users more than showing some figures.…”
Section: Healthcare Data Analysismentioning
confidence: 99%