ENHANCED SECURITY MODEL FOR HEALTHCARE USING IOT SENSORS

Mukesh Kumar Bhardwaj; Manish Saraswat

doi:10.29121/shodhkosh.v5.i6.2024.6076

Authors

Mukesh Kumar Bhardwaj Faculty of Science and Technology ICFAI University, Baddi, Himachal Pradesh, India.
Manish Saraswat Faculty of Science and Technology ICFAI University, Baddi, Himachal Pradesh, India.

DOI:

https://doi.org/10.29121/shodhkosh.v5.i6.2024.6076

Keywords:

Security, Model, Healthcare, Iot Sensors

Abstract [English]

While cutting-edge technologies have revolutionized healthcare delivery and enabled transformative progress benefitting patients, operational efficiencies, and resource utilization, their widespread application and data-driven methods have introduced new complications endangering critical patient information's integrity, privacy, and availability. To tackle such threats, academics pushed for abbreviated processing periods, fortified security using cryptographic techniques to deter assaults, and energy-efficient algorithms minimizing energy expenditure during calculations. However, these frameworks continue experiencing prolonged processing, susceptibility to assaults, extravagant energy usage, and inadequate protection. The proposed model was tested using genuine patient health records amassed by IoT sensors and simulated diverse attack scenarios in Python to validate the suggested approach. The model strives to balance security, expediency, and conservation for a sustainable and trustworthy system. This paper evaluates the state of the arts related to security threats in Healthcare IoT and demonstrates significant improvements in the security and efficiency of the model.

References

B. Ahmed, M. Imtiaz, M. Arshad, Adaptive personalized healthcare using IoT environments: challenges and opportunities, IEEE Transactions on Network Science and Engineering 3 (3) (2016) 243–255.

Lee, An Hsiu, An architecture and management platform for blockchain-based personal health record exchange: development and usability study, J. Med. Internet Res. 22 (6) (2020), e16748. DOI: https://doi.org/10.2196/16748

Ali, Aitizaz, Security, privacy, and reliability in digital healthcare systems using blockchain, Electronics 10 (16) (2021) 2034. DOI: https://doi.org/10.3390/electronics10162034

A.S.M. Shamsul Arefin, K.M. Nahiyan, Mamun Rabbani, The Basics of Healthcare IoT: Data Acquisition, Medical Devices, Instrumentations and Measurements.A Handbook of Internet of Things in Biomedical and Cyber Physical System, Springer, Cham, 2020, pp. 1–37. DOI: https://doi.org/10.1007/978-3-030-23983-1_1

Kadhim, Takleef Kadhim, An overview of patient’s health status monitoring system based on internet of things (IoT), Wireless Pers. Commun. 114 (3) (2020) 2235–2262. DOI: https://doi.org/10.1007/s11277-020-07474-0

Munirathinam, Sathyan. Industry 4.0: industrial internet of things (IIOT), Advances in computers Elsevier 117

(2020) 129–164.

Awotunde, Bamidele Joseph, Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm. Hybrid Artificial Intelligence and IoT in Healthcare, Springer, Singapore, 2021, pp. 201– 222. DOI: https://doi.org/10.1007/978-981-16-2972-3_10

Martinez-Ríos, Erick, A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data, Biomed. Signal Process Control 68 (2021), 102813. DOI: https://doi.org/10.1016/j.bspc.2021.102813

Reyna, Ana, On blockchain and its integration with IoT. Challenges and opportunities, Future Generat. Comput. Syst. 88 (2018) 173–190. DOI: https://doi.org/10.1016/j.future.2018.05.046

Banerjee, Syagnik, Thomas Hemphill, Phil Longstreet, Wearable devices and healthcare: data sharing and privacy, Inf. Soc. 34 (1) (2018) 49–57. DOI: https://doi.org/10.1080/01972243.2017.1391912

A. Khraisat, I. Gondal, P. Vamplew, J. Kamruzzaman, A. Alazab, A novel ensemble of hybrid intrusion detection system for detecting internet of things attacks, Electronics 8 (11) (2019) 1210. DOI: https://doi.org/10.3390/electronics8111210

Z. Tang, L. Jiang, X. Zhu, and M. Huang, “An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study,” Electronics, vol.12, no.17, pp.1-14, August 2023. https://doi.org/10.3390/electronics12173652 DOI: https://doi.org/10.3390/electronics12173652

M. A. Elhosseini, N. K. Gharaibeh and W. A. Abu-Ain, “Trends in Smart Healthcare Systems for Smart Cities Applications,” In Proceedings of International Conference on Advanced Innovations in Smart Cities (ICAISC), Jeddah, Saudi Arabia, 23-25 January 2023, pp.1–7. https://doi.org/10.1109/icaisc56366.2023.10085212 DOI: https://doi.org/10.1109/ICAISC56366.2023.10085212

A. Wells and A. B. Usman, “Privacy and biometrics for smart healthcare systems: attacks, and techniques,” Information Security Journal: A Global Perspective, vol.33, no.3, pp.307–331, October 2023. https://doi.org/10.1080/19393555.2023.2260818 DOI: https://doi.org/10.1080/19393555.2023.2260818

F. Bu, M. Wang, and L. “Tian, Research on Medical Big Data Mining and Intelligent Analysis for Smart Healthcare,” In proceedings of International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME), Madrid, Spain, 27-29 June 2023, pp.394–39. https://doi.org/10.1109/icdiime59043.2023.00082 DOI: https://doi.org/10.1109/ICDIIME59043.2023.00082

S. Thapliyal, M. Wazid, D. P. Singh, A. K. Das, S. Shetty, and A. Alqahtani, “Design of Robust BlockchainEnvisioned Authenticated Key Management Mechanism for Smart Healthcare Applications,” IEEE Access, vol.11, pp.93032–93047, August 2023. https://doi.org/10.1109/access.2023.3310264 DOI: https://doi.org/10.1109/ACCESS.2023.3310264

G. Sandi, S. H. Supangkat, Ermawati, “Smart Healthcare for Personalized Healthcare: Literature Review,” In Proceedings of International Conference on ICT for Smart Society (ICISS), Bandung, Indonesia, 06-07 September 2023, pp.1–7. https://doi.org/10.1109/iciss59129.2023.10291631 DOI: https://doi.org/10.1109/ICISS59129.2023.10291631

M.-H. Lee, I-H. Liu, and J.-S. Li, “Cyber Security in a 5G-Based Smart Healthcare Network: A Base Station Case Study,” Engineering Proceedings, vol.55, no.1, pp.1-6, December 2023. https://doi.org/10.3390/engproc2023055050 DOI: https://doi.org/10.3390/engproc2023055050

M.A. Almaiah, F. Hajjej, A. Ali, M.F. Pasha, O. Almomani, A novel hybrid trustworthy decentralized authentication and data preservation model for digital healthcare IoT based CPS, Sensors 22 (4) (2022) 1448. DOI: https://doi.org/10.3390/s22041448

A. Ali, M.F. Pasha, J. Ali, O.H. Fang, M. Masud, A.D. Jurcut, M.A. Alzain, Deep learning based homomorphic secure search-able encryption for keyword search in blockchain healthcare system: a novel approach to cryptography, Sensors 22 (2) (2022) 528. DOI: https://doi.org/10.3390/s22020528

S. Vaishnavi, T. Sethukarasi SybilWatch, A novel approach to detect Sybil attack in IoT based smart health care,

J. Ambient Intell. Hum. Comput. 12 (6) (2021) 6199–6213. DOI: https://doi.org/10.1007/s12652-020-02189-3

S. Shukla, S. Thakur, S. Hussain, J.G. Breslin, S.M. Jameel, Identification and authentication in healthcare internet-of-things using integrated fog computing based blockchain model, Internet of Things 15 (2021), 100422. DOI: https://doi.org/10.1016/j.iot.2021.100422

S. Kavitha, P.J.A. Alphonse, Y. Venkataramana Reddy, An improved authentication and security on efficient generalized group key agreement using hyperelliptic curve-based public key cryptography for IoT health care system, J. Med. Syst. 43 (8) (2019) 1–6. DOI: https://doi.org/10.1007/s10916-019-1378-2

Singh, M.K., Singh, A.K., Singh, P., Kalpana, Rishi, O.P. (2023). Artificial Intelligence Enabled IOT System for Football Identification in a Football Match. In: Garg, D., Narayana, V.A., Suganthan, P.N., Anguera, J., Koppula, V.K., Gupta, S.K. (eds) Advanced Computing. IACC 2022. Communications in Computer and Information Science, vol 1782. Springer, Cham. https://doi.org/10.1007/978-3-031-35644-5_37 DOI: https://doi.org/10.1007/978-3-031-35644-5_37