Enhancing Cybersecurity for Diabetes Patient Data in Cloud-Based IoT Using Advanced Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Enhancing Cybersecurity for Diabetes Patient Data in Cloud-Based IoT Using Advanced Machine Learning Algorithms

Published:2023-12-29 Issue: Volume:23 Page:1-7
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Rao C. V. Guru¹,Dhaygude Priti Shivaji²,Harika Ala³,Nagpal Amandeep⁴,Almusawi Muntather⁵,Agrawal Sachin S⁶

Affiliation:

1. School of CS & AI, SR Universtity,Warangal,Telangana

2. PES's College of Engineering,Department of Electronics and Telecommunication Engineering,Phaltan,Maharashtra

3. Institute of Aeronautical Engineering,Hyderabad

4. Lovely Professional University,Phagwara

5. The Islamic university,Najaf,Iraq

6. Computer Science and Engineering, College of Engineering and Technology,Akola,Maharashtra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489784.pdf?arnumber=10489784

Reference30 articles.

1. IoT Health Devices: Exploring Security Risks in the Connected Landscape

2. A Survey of Explainable Artificial Intelligence for Smart Cities

3. Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models

4. HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications

5. Empowering Precision Medicine: Unlocking Revolutionary Insights through Blockchain-Enabled Federated Learning and Electronic Medical Records

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