An Edge – IoT Framework and Prototype based on Blockchain for Smart Healthcare Applications
Published online first on June 16, 2021.
The Internet of Things (IoT) and the integration of medical devices perform hand-to-hand solutions and comfort to their users. With the inclusion of IoT under medical devices a hybrid (IoMT) is formulated. This features integrated computation and processing of data via dedicated servers. The IoMT is supported with an edge server to assure the mobility of data and information. The backdrop of IoT is a networking framework and hence, the security of such devices under IoT and IoMT is at risk. In this article, a framework and prototype for secure healthcare application processing via blockchain are proposed. The proposed technique uses an optimized Crow search algorithm for intrusion detection and tampering of data extraction in IoT environment. The technique is processed under deep convolution neural networks for comparative analysis and coordination of data security elements. The technique has successfully extracted the instruction detection from un-peer source with a source validation of 100 IoT nodes under initial intervals of 25 nodes based on block access time, block creation, and IPFS storage layer extraction. The proposed technique has a recorded performance efficiency of 92.3%, comparable to trivial intrusion detection techniques under Deep Neural Networks (DNN) supported algorithms.
Keywords:blockchain, intrusion detection, deep neural networking, IoMT, IOT
G. Joyia, R. Liaqat, A. Farooq, and S. Rehman, "Internet of Medical Things (IOMT): Applications, Benefits and Future Challenges in Healthcare Domain," Journal of Communications, vol. 12, no. 4, pp. 240–247, Apr. 2017.
S. Rani, S. H. Ahmed, R. Talwar, J. Malhotra, and H. Song, "IoMT: A Reliable Cross Layer Protocol for Internet of Multimedia Things," IEEE Internet of Things Journal, vol. 4, no. 3, pp. 832–839, Jun. 2017.
L. Haoyu, L. Jianxing, N. Arunkumar, A. F. Hussein, and M. M. Jaber, "An IoMT cloud-based real time sleep apnea detection scheme by using the SpO2 estimation supported by heart rate variability," Future Generation Computer Systems, vol. 98, pp. 69–77, Sep. 2019.
N. Garg, M. Wazid, A. K. Das, D. P. Singh, J. J. P. C. Rodrigues, and Y. Park, "BAKMP-IoMT: Design of Blockchain Enabled Authenticated Key Management Protocol for Internet of Medical Things Deployment," IEEE Access, vol. 8, pp. 95956–95977, 2020.
D. Koutras, G. Stergiopoulos, T. Dasaklis, P. Kotzanikolaou, D. Glynos, and C. Douligeris, "Security in IoMT Communications: A Survey," Sensors, vol. 20, no. 17, Jan. 2020, Art. no. 4828.
S. T. Ahmed, M. Sandhya, and S. Sankar, "A Dynamic MooM Dataset Processing Under TelMED Protocol Design for QoS Improvisation of Telemedicine Environment," Journal of Medical Systems, vol. 43, no. 8, Jul. 2019, Art. no. 257.
S. Thouheed Ahmed, M. Sandhya, and S. Sankar, "TelMED: Dynamic User Clustering Resource Allocation Technique for MooM Datasets Under Optimizing Telemedicine Network," Wireless Personal Communications, vol. 112, no. 4, May 2020.
M. Papaioannou et al., "A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT)," Transactions on Emerging Telecommunications Technologies, 2020, Art. no. e4049.
M. Wazid, A. K. Das, J. J. P. C. Rodrigues, S. Shetty, and Y. Park, "IoMT Malware Detection Approaches: Analysis and Research Challenges," IEEE Access, vol. 7, pp. 182459–182476, 2019.
M. A. Jan, M. Usman, X. He, and A. Ur Rehman, "SAMS: A Seamless and Authorized Multimedia Streaming Framework for WMSN-Based IoMT," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1576–1583, Apr. 2019.
S. Vishnu, S. R. J. Ramson, and R. Jegan, "Internet of Medical Things (IoMT) - An overview," in 2020 5th International Conference on Devices, Circuits and Systems (ICDCS), Coimbatore, India, Mar. 2020, pp. 101–104.
O. AlShorman, B. AlShorman, M. Al-khassaweneh, and F. Alkahtani, "A review of internet of medical things (IoMT) - based remote health monitoring through wearable sensors: a case study for diabetic patients," Indonesian Journal of Electrical Engineering and Computer Science, vol. 20, no. 1, pp. 414–422, Oct. 2020.
N. K. Al-Shammari, H. B. Almansour, and M. B. Syed, "Development of an Automatic Contactless Thermometer Alert System Based on GPS and Population Density," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 7006–7010, Apr. 2021.
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