A Privacy-Preserving Untraceable Group Data-Sharing Technique

Abstract

Significant data privacy problems have been raised by adopting cloud computing, which has drawn much attention recently. Meanwhile, system security and cryptography offer a variety of security frameworks for protecting machine learning and maintaining privacy. Especially in the healthcare sector, cloud computing has drastically changed how we store and access data. Cloud computing has benefits but also increases the chance of data breaches and privacy abuses. Privacy protection is essential since using the cloud requires storing sensitive data on distant servers. Encrypting data and limiting access to only those with the necessary authorisation is one method to protect privacy. Data security is essential in the cloud to prevent unauthorised access, manipulation, and loss. Disaster recovery planning and routine backups are two methods we may use to maintain the previous data's security while using the BVK algorithm.