Abstract
A patient-centric strategy has quickly replaced the old hospital/specialist-centric model in healthcare during the past few decades, particularly in the healthcare system. The development of new technologies has accelerated this shift. With respect to the effectiveness of electronic equipment as well as dependability and reliability, the Internet of Medical Things (IoMT) plays a crucial role in the healthcare system's development. The privacy and security of IoMT are of the greatest priority and are essential in protecting the patient's life because IoMT is primarily used to collect highly sensitive personal health information. If not protected, this information could have a negative impact on the patient's health and, in the worst-case situation, even causes death. Inspired by this important necessity, numerous researchers have consistently achieved notable advancements to address the privacy and security challenges in IoMT alongside the development of IoMT technology. However, there are a lot of potential possibilities for further research. It requires a thorough review of all current privacy and security approaches in the IoMT space. In order to secure IoMT in smarter healthcare systems, this article will examine the existing research on the most prospective cutting-edge technologies, paying particular attention to safety, privacy preservation, and authenticating with public verification. Lastly, emphasize the study's findings by outlining the advantages and drawbacks of current privacy and security solutions and the possibilities and future possible directions that may inspire researchers in the coming years to advance and reshape their work on the secure incorporation of IoMT in Smart Healthcare Systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Joyia GJ, Liaqat RM, Farooq A, Rehman S (2017) Internet of medical things (IoMT): applications, benefits and future challenges in healthcare domain. J Commun 12(4):240–247
Kumar P, Gupta GP, Tripathi R (2021) An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks. Comput Commun 166:110–124. https://doi.org/10.1016/j.comcom.2020.12.003
Gupta A, Chakraborty C, Gupta B (2019) Medical information processing using smartphone under IoT framework. In: Mittal M, Tanwar S, Agarwal B, Goyal LM (eds) Energy conservation for IoT devices, vol 206. Springer Singapore, Singapore, pp 283–308. https://doi.org/10.1007/978-981-13-7399-2_12
Ardito C et al (2020) Towards a situation awareness for eHealth in ageing society. In AIxAS@ AI* IA, pp 40–55
Gardiyawasam Pussewalage HS, Oleshchuk VA (2016) Privacy preserving mechanisms for enforcing security and privacy requirements in E-health solutions. Int J Inf Manag 36(6):1161–1173. https://doi.org/10.1016/j.ijinfomgt.2016.07.006
Can YS, Ersoy C (2021) Privacy-preserving federated deep learning for wearable IoT-based biomedical monitoring. ACM Trans Internet Technol. TOIT 21(1):1–17
Dinesh Kumar S (2020) Enhancing security mechanisms for healthcare informatics using ubiquitous cloud. J Ubiquit Comput Commun Technol 2:19–28. https://doi.org/10.36548/jucct.2020.1.003
Elhoseny M, Ramirez-Gonzalez G, Abu-Elnasr OM, Shawkat SA, Arunkumar N, Farouk A (2018) Secure medical data transmission model for IoT-based healthcare systems. IEEE Access 6:20596–20608. https://doi.org/10.1109/ACCESS.2018.2817615
Mahendran RK, Velusamy P (2020) A secure fuzzy extractor based biometric key authentication scheme for body sensor network in internet of medical things. Comput Commun 153:545–552. https://doi.org/10.1016/j.comcom.2020.01.077
Kumar M, Chand S (2020) A secure and efficient cloud-centric internet-of-medical-things-enabled smart healthcare system with public verifiability. IEEE Internet Things J 7(10):10650–10659. https://doi.org/10.1109/JIOT.2020.3006523
Li X, Dai H-N, Wang Q, Imran M, Li D, Imran MA (2020) Securing internet of medical things with friendly-jamming schemes. Comput Commun 160:431–442. https://doi.org/10.1016/j.comcom.2020.06.026
Khan MA, Algarni F (2020) A healthcare monitoring system for the diagnosis of heart disease in the IoMT cloud environment using MSSO-ANFIS. IEEE Access 8:122259–122269. https://doi.org/10.1109/ACCESS.2020.3006424
FDA U (2014) Content of premarket submissions for management of cybersecurity in medical devices: guidance for industry and food and drug administration staff: Food and Drug Administration, Silver Spring, MD
Stein MM (2016) Senate health panel floats draft health information technology reform bill. CMS 19(3):1–23
Welcher R (2019) Use of Companion Diagnostics (CDx) and predictive biomarkers for cancer targeted therapy: clinical applications in precision medicine. In: Badve S, Kumar GL (eds) Predictive biomarkers in oncology. Springer International Publishing, Cham, pp 539–551. https://doi.org/10.1007/978-3-319-95228-4_49
Habib MA et al (2019) Privacy-based medical data protection against internal security threats in heterogeneous Internet of Medical Things. Int J Distrib Sens Netw 15(9):155014771987565. https://doi.org/10.1177/1550147719875653
Alsubaei F, Abuhussein A, Shandilya V, Shiva S (2019) IoMT-SAF: internet of medical things security assessment framework. Internet Things 8:100123. https://doi.org/10.1016/j.iot.2019.100123
Zhang J, Liu H, Ni L (2020) A secure energy-saving communication and encrypted storage model based on RC4 for EHR. IEEE Access 8:38995–39012. https://doi.org/10.1109/ACCESS.2020.2975208
Cano M-D, Cañavate-Sanchez A (2020) Preserving data privacy in the internet of medical things using dual signature ECDSA. Secur Commun Netw 2020:1–9. https://doi.org/10.1155/2020/4960964
Deebak BD, Al-Turjman F, Aloqaily M, Alfandi O (2019) An authentic-based privacy preservation protocol for smart e-healthcare systems in IoT. IEEE Access 7:135632–135649. https://doi.org/10.1109/ACCESS.2019.2941575
Rani SS, Alzubi JA, Lakshmanaprabu SK, Gupta D, Manikandan R (2020) Optimal users based secure data transmission on the internet of healthcare things (IoHT) with lightweight block ciphers. Multimed Tools Appl 79(47–48):35405–35424. https://doi.org/10.1007/s11042-019-07760-5
Boussada R, Hamdane B, Elhdhili ME, Saidane LA (2019) Privacy-preserving aware data transmission for IoT-based e-health. Comput Netw 162:106866. https://doi.org/10.1016/j.comnet.2019.106866
Gull S, Parah SA, Muhammad K (2020) Reversible data hiding exploiting Huffman encoding with dual images for IoMT based healthcare. Comput Commun 163:134–149. https://doi.org/10.1016/j.comcom.2020.08.023
Yanambaka VP, Mohanty SP, Kougianos E, Puthal D (2019) PMsec: physical unclonable function-based robust and lightweight authentication in the internet of medical things. IEEE Trans Consum Electron 65(3):388–397. https://doi.org/10.1109/TCE.2019.2926192
Xin Y et al (2018) Multimodal feature-level fusion for biometrics identification system on iomt platform. IEEE Access 6:21418–21426. https://doi.org/10.1109/ACCESS.2018.2815540
Moosavi SR et al (2015) SEA: a secure and efficient authentication and authorization architecture for IoT-based healthcare using smart gateways. Procedia Comput Sci 52:452–459. https://doi.org/10.1016/j.procs.2015.05.013
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Varshini, M., Akshaya, K., Premika, K.K., Vijaya Kumar, A. (2023). A Sophisticated Review on Open Verifiable Health Care System in Cloud. In: Shakya, S., Papakostas, G., Kamel, K.A. (eds) Mobile Computing and Sustainable Informatics. Lecture Notes on Data Engineering and Communications Technologies, vol 166. Springer, Singapore. https://doi.org/10.1007/978-981-99-0835-6_10
Download citation
DOI: https://doi.org/10.1007/978-981-99-0835-6_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0834-9
Online ISBN: 978-981-99-0835-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)