Secure Wearable Apps for Remote Healthcare Through Modern Cryptography
Andric Li, Grace Luo, Christopher Tao, Diego Zuluaga

TL;DR
This paper discusses applying modern cryptography to secure data in wearable healthcare apps, ensuring privacy and data integrity from device to cloud in remote health monitoring systems.
Contribution
It introduces cryptographic solutions tailored for wearable healthcare apps to enhance data security and privacy in remote healthcare environments.
Findings
Proposes cryptographic methods for data confidentiality and integrity.
Addresses end-to-end security challenges in wearable health data.
Highlights importance of securing patient data in cloud-based healthcare.
Abstract
Wearable devices like smartwatches, wristbands, and fitness trackers are designed to be lightweight devices to be worn on the human body. With the increased connectivity of wearable devices, they will become integral to remote healthcare solutions. For example, a smartwatch can measure and upload a patient's vital signs to the cloud through a network which is monitored by software backed with Artificial Intelligence. When an anomaly of a patient is detected, it will be alerted to healthcare professionals for proper intervention. Remote healthcare offers substantial benefits for both patients and healthcare providers as patients may avoid expensive in-patient care by choosing the comfort of staying at home while being monitored after a surgery and healthcare providers can resolve challenges between limited resources and a growing population. While remote healthcare through wearable…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT and Edge/Fog Computing
