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The limitations in the state-of-the-art counter-measures against the security threats in H-IoT

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Abstract

Internet of Things (IoT) technology is anticipated to pave the way for groundbreaking applications in a number of areas of current healthcare systems. Given the significant number of connected medical devices, the vital data generated by the patient is under several security threats. Selective Forwarding (SF) and Wormhole (WH) attacks are two critical threats that cause information deficit in the network. The SF attack drops critical data packets at compromised nodes while the WH attack creates fallacious routing tables due to the introduction of malicious routes in the network. In this paper, we focus on the security aspects of Healthcare-IoT and review the proposed counter-measures against the SF and WH attacks. We weigh the recently postulated counter-measures based on their significance and identify their limitations. Additionally, we propose a blockchain-based cryptographic framework for mitigating SF and WH attacks in H-IoT. We explore future research directions in mitigating these threats.

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Acknowledgements

This research was supported in part by the Brain Korea 21 Plus Program (Grant No. 22A20130012814) funded by the National Research Foundation of Korea (NRF), in part by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (Grant No. IITP-2019-2016-0-00313) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. 2018R1D1A1A09082266).

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Authors and Affiliations

  1. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea

    Yazdan Ahmad Qadri, Arslan Musaddiq & Sung Won Kim

  2. School of Intelligent Mechatronics Engineering, Sejong University, Seoul, Republic of Korea

    Rashid Ali

  3. Artificial Intelligence Department, Near East University, 99138, Nicosia, Mersin, Turkey

    Fadi Al-Turjman

  4. Department of Business Administration, Yeungnam University, Gyeongsan, 38541, Republic of Korea

    Dae Wan Kim

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  1. Yazdan Ahmad Qadri
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Qadri, Y.A., Ali, R., Musaddiq, A. et al. The limitations in the state-of-the-art counter-measures against the security threats in H-IoT. Cluster Comput 23, 2047–2065 (2020). https://doi.org/10.1007/s10586-019-03036-7

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