The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications
Open accessAbstract
Wireless Body Area Network (WBAN) is a new trend in the technology that provides remote mechanism to monitor and collect patient’s health record data using wearable sensors. It is widely recognized that a high level of system security and privacy play a key role in protecting these data when being used by the healthcare professionals and during storage to ensure that patient’s records are kept safe from intruder’s danger. It is therefore of great interest to discuss security and privacy issues in WBANs. In this paper, we reviewed WBAN communication architecture, security and privacy requirements and security threats and the primary challenges in WBANs to these systems based on the latest standards and publications. This paper also covers the state-of-art security measures and research in WBAN. Finally, open areas for future research and enhancements are explored.
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PRESENT: An Ultra-Lightweight Block Cipher
Bogdanov, A., Knudsen, L. R., Leander, G., Paar, C., Poschmann, A., Robshaw, M. J. B., Seurin, Y., & Vikkelsoe, C. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74735-2_31 · Cited by 2,867
A Comprehensive Survey of Wireless Body Area Networks: On PHY, MAC, and Network Layers Solutions
Ullah, S., Higgins, H., Braem, B., Latre, B., Blondia, C., Moerman, I., Saleem, S., Rahman, Z., & Kwak, K. S. (2012) · Journal of Medical Systems · doi:10.1007/s10916-010-9571-3 · Cited by 811
Cited by
Manogaran, G., Varatharajan, R., Lopez, D., Kumar, P. M., Sundarasekar, R., & Thota, C. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.045 · Cited by 512
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
El-Rashidy, N., El-Sappagh, S., Islam, S., M. El-Bakry, H., & Abdelrazek, S. (2021) · Diagnostics · doi:10.3390/diagnostics11040607 · Cited by 258
Secure Healthcare Data Aggregation and Transmission in IoT—A Survey
Ullah, A., Azeem, M., Ashraf, H., Alaboudi, A. A., Humayun, M., & Jhanjhi, N. (2021) · IEEE Access · doi:10.1109/access.2021.3052850 · Cited by 213
Secondary Use of Electronic Health Record: Opportunities and Challenges
Shah, S. M., & Khan, R. A. (2020) · IEEE Access · doi:10.1109/access.2020.3011099 · Cited by 158
Towards Smart Healthcare: Patient Data Privacy and Security in Sensor‐Cloud Infrastructure
Masood, I., Wang, Y., Daud, A., Aljohani, N. R., & Dawood, H. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/2143897 · Cited by 78
Metadata
- Authors
- Al-Janabi, S., Al-Shourbaji, I., Shojafar, M., & Shamshirband, S.
- Venue
- Egyptian Informatics Journal
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 18
- Issue
- 2
- Pages
- 113-122
- ISSN
- 1110-8665 (ISSN-L)
- OpenAlex
- W2552699189
- Cited by
- 329
- References
- 2
- FWCI
- 15.35
- Type
- journal article
- Language
- en
- Open access
- gold
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- Al-Janabi, S., Al-Shourbaji, I., Shojafar, M., & Shamshirband, S. (2017). Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2016.11.001
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