Enhanced Security protocols for data protection in the Internet of Healthcare Things (IoHTs) using Quantum Key Distribution-Reference-Cited by-同舟云学术

Enhanced Security protocols for data protection in the Internet of Healthcare Things (IoHTs) using Quantum Key Distribution

Published:2023-07-10 Issue: Volume: Page:
ISSN:
Container-title:
language:
Short-container-title:

Author:

Shyry Prayla¹,Selvam Venkatesan²,Gopinath N³

Affiliation:

1. Sathyabama Institute of Science and Technology

2. adhiyaman

3. B.S Abdur Rahman Crescent Institute of Science and Technology

Abstract

Abstract The Internet of Healthcare Things is essential for enhancing people's protection, care, and health. Health-related criteria for patients can be remotely tracked and transferred to medical data centers via cloud storage, saving them the trip to the hospital. Additionally, the volume of data processed by Internet of Healthcare Things devices is growing exponentially. Due to the increased revelation of sensitive information, there are many unresolved issues about data security and privacy gathered through Internet of Healthcare Things devices. The requirement to apply machine learning algorithms to massive industrial data is developing as quickly as categorization methods themselves. We offer an Entangled Fuzzy Logic based Quantum Key Distribution for data protection to improve and assess the degree of security such breaches, data integrity, etc. in order to safely store and handle this information in the cloud. Results show that the proposed method enhancing the level of security to the cloud more than 99%, the works remarkably well.

Publisher

Research Square Platform LLC

Reference46 articles.

1. Wang Q, Wang C, Li J, Ren K, Lou W (2009) : Enabling public verifiability and data dynamics for storage security in cloud computing. In: Proceedings of the European symposium on research in computer security, Springer, pp 355–370

2. Research on cloud computing security threats using data transmission;Kumar R;Int J Adv Res Comput Sci Softw Eng India,2015

3. Meng D (2013) : Data security in cloud computing. In: Proceedings of the 8th International Conference on Computer Science & Education (ICCSE 2013)

4. Shawish A, Salama M (2014) : Cloud computing: paradigms and technologies. In: Proceedings of the Inter-cooperative collective intelligence: techniques and applications, Springer, pp 39–67

5. An efficent security framework design for cloud computing using artificial neural networks;Negi A;Int J Comput Appl,2015