Abstract
The internet of medical things (IoMT) is taking an enormous part and a notable role in enhancing the health sector by anticipating medical facilities to people around the globe. With the rapid growth of internet of things, IoMT is having a massive effect in our everyday lifestyle. Rather than going to the health centers, patient clinical related data is remotely remarked and summons in a synchronal data system and then transferred to whom concerned for future use such as the cloud. IoMT is intensive data domain with an accelerating, growing rate which means that we must secure and protect large amount of delicate data without being interfered. And with the digital transformation we are living IoMT is being concerned as the most attractive topic in Saudi Arabia with the concern of cybersecurity implementation to the services and risk assessments in order to have the most secure and reliable user experience. Wishing this paper to be helpful and to add value to the researchers and to focus on the security challenges that we need to avoid.
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References
Joyia, G.J., Liaqat, R.M., Farooq, A., Rehman, S.: Internet of Medical Things (IOMT): applications, benefits and future challenges in healthcare domain. J. Commun. 12(4), 240–247 (2017)
Dilawar, N., Rizwan, M., Ahmad, F., Akram, S.: Blockchain: securing Internet of Medical Things (IoMT). Int. J. Adv. Comput. Sci. Appl. (IJACSA) 10(1), 1–8 (2019)
Vishnu, S., Jino Ramson, S.R., Jegan, R.: Internet of Medical Things (IoMT) - an overview. In: 2020 5th International Conference on Devices, Circuits and Systems (ICDCS) (2020)
Habib, M.A., Faisal, C.M.N., Sarwar, S., Latif, M.A., Aadil, F., Ahmad, M., Ashraf, R., Maqsood, M.: Privacy-based medical data protection against internal security threats in heterogeneous Internet of Medical Things. Int. J. Distrib. Sens. Netw. 15, 1–12 (2019)
Alsubaei, F., Abuhussein, A.: Security and privacy on the internet of medical things: taxonomy and risk assessment, October 2017. Conference Paper
Karmakar, K.K., Varadharajan, V., Tupakula, U., Nepal, S., Thapa, C.: Towards a security enhanced virtualised network infrastructure for the Internet of Medical Things (IoMT). In: 2020 6th IEEE International Conference on Network Softwarization (NetSoft) (2020)
Alqarni, A.: A survey and classification of security and privacy research in smart healthcare systems. Received 15 July 2019, accepted 22 July 2019, date of publication 25 July 2019, date of current version 9 August 2019
Yang, X.: Abnormal user detection based on the correlation probabilistic model. Received 25 October 2019, accepted 24 February 2020, date of publication 13 June 2020
Cano, M.-D.: Preserving data privacy in the Internet of Medical Things using dual signature ECDSA. Received 25 October 2019, accepted 17 February 2020, date of publication 10 June 2020
Lai, H.-L., Chen, T.-Y.: User audit model based on attribute measurement and similarity measurement. Received 18 February 2012, accepted 28 July 2012
Tang, K., Tang, W., Luo, E., Tan, Z., Meng, W., Qi, L.: Secure information transmissions in wireless-powered cognitive radio networks for Internet of Medical Things. Received 25 September 2019, accepted 20 December 2019, date of publication 24 February 2020
Hu, Z., Lin, Y.: Cryptanalysis and security improvement of two authentication schemes for healthcare systems using wireless medical sensor networks. Received 18 October 2019, accepted 18 January 2020, date of publication 19 February 2020
Zhou, X., Liu, J., Wu, Q.: Secure outsourced medical data against unexpected leakage with flexible access control in a cloud storage system. Received 30 August 2019, accepted 08 January 2020, date of publication 10 February 2020
Ma, X., Guo, S., Bai, W., Chen, J., Xia, S.: An API semantics-aware malware detection method based on deep learning. Received 19 February 2019, accepted 20 May 2019, date of publication 11 November 2019
Zhao, Y.-L., Zhu, C.-P.: An object proxy-based dynamic layer replacement to protect IoMT applications. Received 24 May 2019, accepted 26 August 2019, date of publication 30 September 2019
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Almaiman, L., Alqahtani, N. (2021). Security and Privacy on IoMT. In: Abraham, A., et al. Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). SoCPaR 2020. Advances in Intelligent Systems and Computing, vol 1383. Springer, Cham. https://doi.org/10.1007/978-3-030-73689-7_90
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DOI: https://doi.org/10.1007/978-3-030-73689-7_90
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