Pioneering Privacy-First Approaches in IoT Healthcare with Secure Wearable Monitoring Systems
In the world of IoT healthcare right now, protecting the privacy of patients' medical data collected by wearable tracking devices is an urgent and important issue. It is very important that this condition be met. The Secure Health Data Aggregation and Homomorphic Encryption (SHAHE) method is being thought about as a possible alternative while this investigation is going on. We thought about the need for processing, data collection, and access control as we worked on the SHAHE approach. We can fully reach this goal by using homomorphic cryptography and safe aggregation methods. The main goal of the program is to protect people's privacy by making data value analysis better and reducing unauthorized access to important health information. This is the reason why the program was made.
Authors
- Rusul Najm
- Neeta Awasthy (ORCID: https://orcid.org/0000-0001-5369-8201)
- Anurag Singh (ORCID: https://orcid.org/0000-0003-0601-8001)
- Eakta Kumari (ORCID: https://orcid.org/0000-0003-4909-4581)
- Tarunika Sharma (ORCID: https://orcid.org/0000-0002-7006-8807)
- Bh. Prashanthi
- Sorabh Lakhannal
Institutions
- Lovely Professional University (IN)
- Galgotias University (IN)
- Iraqi University (IQ)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10956587
- Primary Topic
- Information and Cyber Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00