Abstract
With the advent of the concept of smart healthcare emerging out of the Internet of Things applications, the researchers concentrate on proposing a possible solution for exchanging and storing the Patient Health Records (PHR). Current practices over cloud-oriented centralized data centers lead to increased cost of maintenance, need huge storage space, and cause privacy concerns regarding the sharing of information over an exposed network. This urges to model a framework that enables the security as well as real-time sharing of big medical data effectively within a trustless environment. In this context, this article proposes to generate an adaptive patient-centric key management protocol for healthcare monitoring system with the help of blockchain technology. The transmission of PHR from patient to doctor or vice versa is handled through a new key management privacy preservation model. The PHR data is stored in blockchain and is sanitized by the adaptive key agreement protocol with the help of Grey Wolf Optimization (GWO) using a valuable objective model. The restoration process also depends on the adaptive key for retrieving the original information. The proposed protocol is validated by comparing it with the state-of-the-art models with special concentration to the security aspects.
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
References
Bera, B., Chattaraj, D., Das, A.K.: Designing secure blockchain-based access control scheme in IoT-enabled Internet of Drones deployment. Comput. Commun. 153, 229–249 (2020)
Monrat, A.A., Schelen, O., Andersson, K.: A survey of blockchain from the perspectives of applications, challenges, and opportunities. IEEE Access 7, 117134–117151 (2019)
Srinivas, J., Das, A.K., Kumar, N., Rodrigues, J.: Cloud centric authentication for wearable healthcare monitoring system. IEEE Trans. Dependable Secure Comput. (2018)
Challa, S., et al.: An efficient ECC-based provably secure three-factor user authentication and key agreement protocol for wireless healthcare sensor networks. Comput. Electr. Eng. 69, 534–554 (2018)
Merabet, F., Cherif, A., Belkadi, M., Blazy, O., Conchon, E., Sauveron, D.: New efficient M2C and M2M mutual authentication protocols for IoTbased healthcare applications. Peer Peer Netw. Appl. 13(2), 439–474 (2020)
Wazid, M., Das, A.K., Kumar, N., Conti, M., Vasilakos, A.V.: A novel authentication and key agreement scheme for implantable medical devices deployment. IEEE J. Biomed. Health Inform. 22(4), 1299–1309 (2018)
Kuo, T.T., Kim, H.E., Ohno-Machado, L.: Blockchain distributed ledger technologies for biomedical and health care applications. J. Am. Med. Inform. Assoc. 24(6), 1211–1220 (2017)
Deshmukh, V., Pathak, S., Bothe, S.: MobEdge: mobile blockchain‐based privacy‐edge scheme for healthcare Internet of Things‐based ecosystems. Concur. Comput. Pract. Exp., e7210 (2022)
Wang, X., Sun, J., Wang, Y., Liu, Y.: Deepen electronic health record diffusion beyond breadth: game changers and decision drivers. Inf. Syst. Front. 24(2), 537–548 (2022)
Dinh, N., et al.: Implementation outcomes assessment of a digital clinical support tool for intrapartum care in Rural Kenya: observational analysis. JMIR Form. Res. 6(6), e34741 (2022)
Garg, N., Wazid, M., Das, A.K., Singh, D.P., Rodrigues, J.J.P.C., Park, Y.: BAKMP-IoMT: design of blockchain enabled authenticated key management protocol for internet of medical things deployment. IEEE Access 8, 95956–95977 (2020)
Wang, Z., Luo, N., Zhou, P.: GuardHealth: blockchain empowered secure data management and graph convolutional network enabled anomaly detection in smart healthcare. J. Parallel Distrib. Comput. 142, 1–12 (2020)
Zhou, T., Li, X., Zhao, H.: Med-PPPHIS: blockchain-based personal healthcare information system for national physique monitoring and scientific exercise guiding. J. Med. Syst. 3(305) (2019)
Chung, K., Jung, H.: Knowledge-based block chain networks for health log data management mobile service. Personal Ubiquitous Comput. (2019)
Gordon, W.J., Catalini, C.: Blockchain technology for healthcare: facilitating the transition to patient-driven interoperability. Comput. Struct. Biotechnol. J. (2018)
Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46–61 (2014)
Konkle, T., Alvarez, G.A.: A self-supervised domain-general learning framework for human ventral stream representation. Nat. Commun. 13(1), 1–12 (2022)
Pei, W., Xue, B., Shang, L., Zhang, M.: Detecting overlapping areas in unbalanced high-dimensional data using neighborhood rough set and genetic programming. IEEE Trans. Evolut. Comput. (2022)
Mistry, K., Zhang, L., Neoh, S.C., Lim, C.P., Fielding, B.: A micro-GA embedded PSO feature selection approach to intelligent facial emotion recognition. IEEE Transa. Cybern. 47(6), 1496–1509 (2017)
Mirjalili, S., Lewis, A: The whale optimization algorithm. Adv. Eng. Softw. 95, 51–67 (2016)
Chen, T., Zhu, Y., Teng, J.: Beetle swarm optimisation for solving investment portfolio problems. J. Eng. 2018(16), 1600–1605, (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Khatiwada, P., Gupta, N., Yang, B., Derawi, M. (2024). Adaptive Key Management-Based Privacy Preservation Protocol for Healthcare Data. In: Guarda, T., Portela, F., Diaz-Nafria, J.M. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2023. Communications in Computer and Information Science, vol 1936. Springer, Cham. https://doi.org/10.1007/978-3-031-48855-9_18
Download citation
DOI: https://doi.org/10.1007/978-3-031-48855-9_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-48854-2
Online ISBN: 978-3-031-48855-9
eBook Packages: Computer ScienceComputer Science (R0)