Abstract
Health 4.0 is an approach to healthcare innovation using IoT and other sensors and devices. The result is an array of intelligent health applications that are more equipped to improve people's health and well-being in practical ways while also being more reliable, scalable, and economical. However, IoT based healthcare systems may pose problems without proper oversight, especially regarding security concerns like exposed application interfaces. Primary challenge is to learn about the architecture and security needs of IoT based multi-sensor systems and healthcare infrastructures. In addition, it has to propose lightweight, easily implementable, and efficient designs. This research introduces the Internet of Things (IoT) in healthcare and a thorough analysis of practical, novel health frameworks that use a wide range of resources and limited-power sensors and devices. Additionally, this paper also focuses on the safety of these vital Internet of Things components and their wireless connections. The result is the introduction of a lightweight-based security system that uses the Lightweight Encryption Algorithm by IoT (LEAIoT). Essential creation with the proposed hardware-based method is 97% faster than with a software-based approach, and encryption/decryption is faster by 96.2%. Finally, it is competitive with other typical hardware-based cryptography designs, achieving reduced hardware usage of up to 77% with the lowest frequency with its lightweight, flexible implementation and configuration of high-speed keys.
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References
Aivaliotis V, Tsantikidou K, Sklavos N (2022) IoT-based multi-sensor healthcare architectures and a lightweight-based privacy scheme. Sensors (Basel) 22(11):4269. https://doi.org/10.3390/s22114269
Nasiri S, Sadoughi F, Tadayon MH, Dehnad A (2019) Security requirements of internet of things-based healthcare system: a survey study. Acta Inform Med 27(4):253–258. https://doi.org/10.5455/aim.2019.27.253-258
Khadidos AO, Shitharth S, Khadidos AO, Sangeetha K, Alyoubi KH (2022) Healthcare data security using IoT sensors based on random hashing mechanism. J Sens 2022:17. https://doi.org/10.1155/2022/8457116
Srilakshmi A, Mohanapriya P, Harini D, Geetha K (2019) IoT based smart health care system to prevent security attacks in SDN. In: 2019 fifth international conference on electrical energy systems (ICEES), pp 1–7. https://doi.org/10.1109/ICEES.2019.8719236
Oks SJ, Jalowski M, Lechner M, et al (2022) Cyber-physical systems in the context of Industry 4.0: a review, categorization and outlook. Inf Syst Front. https://doi.org/10.1007/s10796-022-10252-x
Dewangan K, Mishra M (2018) A review: security of IoT based healthcare system 3
Bhardwaj V, Joshi R, Gaur AM (2022) IoT-based smart health monitoring system for COVID-19. SN Comput Sci 3:137. https://doi.org/10.1007/s42979-022-01015-1
Yadav K, Alharbi A, Jain A, Ramadan RA (2022) An IoT based secure patient health monitoring system. Comput, Mater Contin 70(2):3637–3652
Hymavathi J, Kumar TR, Kavitha S, Deepa D, Lalar S, Karunakaran P (2022) Machine learning: supervised algorithms to determine the defect in high-precision foundry operation. J Nanomater 2022
Choi J, Choi C, Kim SH, Ko H (2019) Medical information protection frameworks for smart healthcare based on IoT. In: Proceedings of the 9th international conference on web intelligence, mining and semantics (WIMS2019). Association for Computing Machinery, New York, NY, USA, Article 29, pp 1–5. https://doi.org/10.1145/3326467.3326496
Bayari P, Lakshman A, Bhatnagar G, Chattopadhyay C (2022) A novel security framework for medical data in IoT ecosystems. IEEE Multimed 29(02):34–44. https://doi.org/10.1109/MMUL.2022.3157770
Wang J-J, Payne R (2022) A survey of internet of things in healthcare. EAI Endorsed Trans IoT 7(27):1–11
Yang Y, Zheng X, Guo W, Liu X, Chang V (2019) Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system. Inf Sci 479:567–592. https://doi.org/10.1016/j.ins.2018.02.005. ISSN 0020-0255
Nidhya R, Kumar M, Maheswar R, Pavithra D (2022) Security and privacy issues in smart healthcare system using internet of things. In: IoT-enabled smart healthcare systems, services and applications. Wiley, pp 63–85. https://doi.org/10.1002/9781119816829.ch4
Mamo K, Subah Z, Ali M (2020) IoT sensor initiated healthcare data security. IEEE Sens J 1–1. https://doi.org/10.1109/JSEN.2020.3013634
Saha G, Kumar S (2017) Security issues in IoT-based healthcare. Int J Appl Res Inf Technol Comput 8:385. https://doi.org/10.5958/0975-8089.2017.00036.7
Choudhury SS, Mohanty SN, Jagadev AK (2021) Multimodal trust based recommender system with machine learning approaches for movie recommendation. Int J Inf Technol 13:475–482. https://doi.org/10.1007/s41870-020-00553-2
Hameed K, Bajwa IS, Ramzan S, Anwar W, Khan A (2020) An intelligent IoT based healthcare system using fuzzy neural networks. Sci Program 2020:15. https://doi.org/10.1155/2020/8836927
Uslu BÇ, Okay E, Dursun E (2020) Analysis of factors affecting IoT-based smart hospital design. J Cloud Comput 9:67. https://doi.org/10.1186/s13677-020-00215-5
Potluri S, Sunaina S, Neha P, Govind C, Raghavender J, Gupta VM (2021) A secure cloud infrastructure towards smart healthcare: IoT based health monitoring. In: Potluri S, Rao KS, Mohanty SN (eds) Cloud security: techniques and applications. De Gruyter, Berlin, Boston, pp 63–82. https://doi.org/10.1515/9783110732573-004
Ahmed MM, et al (2022) Cyber threats in the healthcare sector and countermeasures. In: Information Resources Management Association (ed) Research anthology on securing medical systems and records. IGI Global, pp 1–16. https://doi.org/10.4018/978-1-6684-6311-6.ch001
Wahlang I, Maji AK, Saha G, Chakrabarti P, Jasinski M, Leonowicz Z, Jasinska E (2022) Brain magnetic resonance imaging classification using deep learning architectures with gender and age. Sensors 22:1766. https://doi.org/10.3390/s22051766
Kannan S, Dhiman G, Natarajan Y, Sharma A, Mohanty SN, Soni M, Easwaran U, Ghorbani H, Asheralieva A, Gheisari M (2021) Ubiquitous vehicular Ad-Hoc network computing using deep neural network with IoT-based bat agents for traffic management. Electronics 10:785. https://doi.org/10.3390/electronics10070785
Kumar TR, Pavan KVS, Kukati R (2020) Quantitatively examines the feasibility of different configurations of the aftermarket supply chain enabling additive manufacturing. Solid State Technol 63(5):492–507
Pise AA, Almuzaini KK, Ahanger TA, Farouk A, Pant K, Pareek PK, Nuagah SJ (2022) Enabling artificial intelligence of things (AIoT) healthcare architectures and listing security issues. Comput Intell Neurosci 2022:14. https://doi.org/10.1155/2022/8421434
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Kanulla, L.K., Gokulkumari, G., Krishna, M.V., Rajamani, S.K. (2023). IoT Based Smart Medical Data Security System. In: Balas, V.E., Semwal, V.B., Khandare, A. (eds) Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-99-3177-4_10
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DOI: https://doi.org/10.1007/978-981-99-3177-4_10
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