Bandwidth and power efficient lightweight authentication scheme for healthcare system☆☆☆☆☆☆ Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.jksuci.2023.101601
With the emergence of the Internet of Things (IoT) and the rapid advancement in sensor technology, wireless medical sensor networks (WMSNs) have become increasingly important in improving health services. WMSNs are deployed for remote monitoring and collecting physiological data of patients for diagnosis and treatment. With the assistance of wearable and mobile devices, IoT-based innovative healthcare solution is extensively adopted to provide better, more precise, and quicker diagnoses. However, the WMSN of healthcare is bandwidth limited and has low latency, while the resource-limited sensors and tremendous IoT output cannot run on practiced security protocols that involve complex encryption/decryption operations. A security system that requires minimal computation and communication time to reduce delay and save the devices’ power source is much needed. Therefore, this article presents a lightweight and robust authentication protocol for the healthcare system that can be used with power and bandwidth-limited devices. Furthermore, this scheme uses random numbers instead of complex encryption/decryption to reduce computation time and energy consumption. The security and performance analysis results show that the proposed method performs better than its competitors regarding security, communication, and computation costs and prolongs the network lifetime.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jksuci.2023.101601
- OA Status
- hybrid
- Cited By
- 14
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4379365076
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4379365076Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jksuci.2023.101601Digital Object Identifier
- Title
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Bandwidth and power efficient lightweight authentication scheme for healthcare system☆☆☆☆☆☆Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-06-04Full publication date if available
- Authors
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Saeed Ullah Jan, Anwar Ghani, Abdulrahman Alzahrani, Syed Muhammad Saqlain, Khalid Yahya, Haseeb SajjadList of authors in order
- Landing page
-
https://doi.org/10.1016/j.jksuci.2023.101601Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jksuci.2023.101601Direct OA link when available
- Concepts
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Computer science, Encryption, Computer network, Wearable computer, Bandwidth (computing), Authentication (law), Wireless sensor network, Energy consumption, Wireless, Embedded system, Computer security, Telecommunications, Engineering, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
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2025: 7, 2024: 6, 2023: 1Per-year citation counts (last 5 years)
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66Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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