A Privacy Framework in Cloud Computing for Healthcare Data
Mayank Kumar Kundalwal, Ashish Pratap Singh, Kakali Chatterjee · 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) · 2018
In recent years, the cloud computing technology improved the healthcare system. It includes on-demand services like storage, computing power, servers, networking, applications and many other IT resources over the internet. With the advancement of healthcare technology, the transformation from offline computing to online computing uprises many security and privacy issues such as authentication, authorization, inference control, access control, data confidentiality, abuse use of cloud based healthcare data, and integrity. As a consequence, a cloud-based e-healthcare system requires a robust and effective security and privacy framework. So, in this paper, we proposed a privacy framework which maintains the data privacy and reliability. It also ensures that only authorized party can access their corresponding healthcare data. Moreover, it overcomes the privacy issues as well as maintains a secure healthcare system. The proposed privacy framework includes a data perturbation technique, which protects the sensitive data from inference attacks. Additionally, it also includes some rule set for data view control which protects the data from impersonation attack. The detail discussion and analysis of the privacy framework shows that it is secure and efficient for healthcare data stored in the cloud.