IoT Performability for Medical Wearable Device by Data Privacy and Fault Tolerance

The goal of this book chapter is to set the optimal safety possibility to use wearable biosensors for patient monitoring. This objective consists in minimizing the security risks by using the adequate methodology for working with personal sensitive data, anonymization and data analytics in the cloud. The possibilities of using data are to filter in a private cloud and to anonymize for analyzing in public cloud. The proposed methodology will ensure the security and privacy by using different level of protection for different type of user accounts (medical staff and patients). The anonymization of the patients’ information is relevant because data is used for a secondary purpose—predictive analysis modeling for understanding and anticipate the diseases behaviors or for preventive medical actions.