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Secure Healthcare Data Aggregation and Transmission in IoT—A Survey
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Internet of medical things (IoMT) is getting researchers' attention due to its wide applicability in healthcare. Smart healthcare sensors and IoT enabled medical devices exchange data and collaborate with other smart devices without human interaction to securely transmit collected sensitive healthcare data towards the server nodes. Alongside data communications, security and privacy is also quite challenging to securely aggregate and transmit healthcare data towards Fog and cloud servers. We explored the existing surveys to identify a gap in literature that a survey of fog-assisted secure healthcare data collection schemes is yet contributed in literature. This paper presents a survey of different data collection and secure transmission schemes where Fog computing based architectures are considered. A taxonomy is presented to categorize the schemes. Fog assisted smart city, smart vehicle and smart grids are also considered that achieve secure, efficient and reliable data collection with low computational cost and compression ratio. We present a summary of these scheme along with analytical discussion. Finally, a number of open research challenges are identified. Moreover, the schemes are explored to identify the challenges that are addressed in each scheme.
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“Another challenging task is to manage several devices remotely and without any loss in time or management. Because in this type of framework, there is a need to integrate devices along with their data and information coming from different aspects [208].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [208]
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Ahsan, U., & Bais, A. (2016) · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · doi:10.1109/mass.2016.048 · Cited by 26
A Survey of Security Aspects for Internet of Things in Healthcare
Suhardi, S., & Ramadhan, A. (2016) · Lecture notes in electrical engineering · doi:10.1007/978-981-10-0557-2_117 · Cited by 24
Novel Light Weight Compressed Data Aggregation using sparse measurements for IoT networks
Amarlingam, M., Mishra, P. K., Rajalakshmi, P., Channappayya, S. S., & Sastry, C. S. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.08.004 · Cited by 23
Insight into the Importance of Fog Computing in Internet of Medical Things (IoMT)
Engineer, M., Tusha, R., Shah, A., & Adhvaryu, K. (2019) · International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) · doi:10.1109/icraecc43874.2019.8994985 · Cited by 18
E-health care data sharing into the cloud based on deduplication and file hierarchical encryption
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Secure Healthcare Data Aggregation and Deduplication Scheme for FoG-Orineted IoT
Ullah, A., Hamza, K., Azeem, M., & Farha, F. (2019) · IEEE International Conference on Smart Internet of Things (SmartIoT) · doi:10.1109/smartiot.2019.00054 · Cited by 14
Self-citationDistributed aggregation algorithms for mobile sensor networks with group mobility model
Ren, Q., Guo, L., Zhu, J., Ren, M., & Zhu, J. (2012) · Tsinghua Science & Technology · doi:10.1109/tst.2012.6314528 · Cited by 12
Energy efficient security protocols for wireless sensor networks : SPINS vs TinySec
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Raju, R., Moh, M., & Moh, T.-S. (2018) · International Conference on High Performance Computing & Simulation (HPCS) · doi:10.1109/hpcs.2018.00150 · Cited by 11
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Self-citation
Cited by
Sorted by citations
IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review
Abdulmalek, S., Nasir, A., Jabbar, W. A., Almuhaya, M. A. M., Bairagi, A. K., Khan, M. A.-M., & Kee, S. (2022) · Healthcare · doi:10.3390/healthcare10101993 · Cited by 477
“In the IoT, latency is the duration needed to send a packet of data between node devices [97].”
BackgroundRahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing · doi:10.1007/s10586-022-03658-4 · Cited by 399
“Because in this type of framework, there is a need to integrate devices along with their data and information coming from different aspects [208].”
BackgroundIoT-Enabled Smart Energy Grid: Applications and Challenges
Abir, S. M. A. A., Anwar, A., Choi, J., & Kayes, A. S. M. (2021) · IEEE Access · doi:10.1109/access.2021.3067331 · Cited by 319
“The Internet of Things (IoT) is a rapidly emerging field of technologies that delivers numerous cutting-edge solutions in various The associate editor coordinating the review of this manuscript and approving it for publication was Giovanni Pau . application domains [1].”
BackgroundA Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook
Goudarzi, A., Ghayoor, F., Waseem, M., Fahad, S., & Traoré, I. (2022) · Energies · doi:10.3390/en15196984 · Cited by 224
“The IoT supports bidirectional communications and distributed computational capabilities, so it can be considered a potential solution to address inescapable difficulties in transitioning traditional energy networks into updated smart grid systems [7,8].”
Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity
Dang, V. A., Khanh, Q. V., Nguyen, V.-H., Nguyễn, V. T., & Nguyen, D. C. (2023) · Sensors · doi:10.3390/s23094200 · Cited by 123
“The survey results show that Smart healthcare applications use one of three computing solutions (CC [7,8,10,16], FC [12,14], or EC [21]) or a combination of solutions [9,11,14,15,17,20]. healthcare systems are receiving substantial attention from academia and industry.”
Background
Metadata
- Authors
- Ullah, A., Azeem, M., Ashraf, H., Alaboudi, A. A., Humayun, M., & Jhanjhi, N.
- Affiliations
- National University of Modern Languages (PK)
- International Islamic University, Islamabad (PK)
- Shaqra University (SA)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 16849-16865
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3126450618
- Cited by
- 213
- References
- 123
- Citations by year
- 2026: 16 · 2025: 34 · 2024: 46 · 2023: 49 · 2022: 53 · 2021: 15
- FWCI
- 18.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- Internet of Medical Things, secure data transmission, fog computing, healthcare data privacy, data compression, smart cities, intelligent vehicles, smart grid
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