Optimal users based secure data transmission on the internet of healthcare things (IoHT) with lightweight block ciphers

The ever-growing advancement in communication innovation of modern smart objects carries with it a new era of improvement for the Internet of Things (IoT) based networks. The health care system is the best approach to store the patient’s health data online with high privacy. Ensuring the privacy and...

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Bibliographic Details
Published in:Multimedia tools and applications 2020-12, p.1-20
Main Authors: Rani, S Sheeba, Alzubi, Jafar A, Lakshmanaprabu, S K, Gupta, Deepak, Ramachandran Manikandan
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Computer simulation
Data transmission
Encryption
Energy costs
Health care
Health services
Heuristic methods
Internet of Things
Lightweight
Machine learning
Optimization
Privacy
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Summary:The ever-growing advancement in communication innovation of modern smart objects carries with it a new era of improvement for the Internet of Things (IoT) based networks. The health care system is the best approach to store the patient’s health data online with high privacy. Ensuring the privacy and confidentiality of patient information in the cloud is of utmost importance; here, the enhanced security model of healthcare data gives rise to trust. For the secure communication, the healthcare data sensed by the IoT sensor network is encrypted by Lightweight SIMON block cipher. For improving the privacy of healthcare data among individuals, we implemented the share generation model. Then, share creation model, i.e., Chinese Remainder Theorem (CRT) is developed to generate the copy of every ciphertext based on the selected number of users and the data is shared among the optimal number of users. The selection of the users in IoHT is made by the metaheuristic algorithm called Hybrid Teaching and Learning Based Optimization (HTLBO). Then, we present healthcare service providers for giving the full scope of medical services to people enrolled in IoHT. The performance of Secure Data is approved through simulations in terms of energy cost, computation time, etc., of the proposed algorithms and the outcomes demonstrate that Secure Data can be efficient while applying for ensuring security chances in IoT-based healthcare systems.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-019-07760-5