Detection of Data Leakage Using Cloud Computing

Abstract

Enterprise resource planning has helped the life sciences and the healthcare industries of today produce enormous amounts of data. Since managing such a large volume of data is challenging and internal employee intimidation around data leakage is on the rise, businesses are implementing security measures like Data Loss Prevention and Digital Rights Management to stop data leakage. Cloud Service Provider will include the doctors in this project and mail their credentials. Patients can ask doctors to upload reports on their behalf. Doctors are able to view patient requests and respond to them. Here, the patient can upload his or her files, and the cloud service provider may ask that specific user (the patient) to upload any missing files if necessary. On the other hand, the mechanism for preventing data leaking likewise becomes complex and difficult. In order to handle large amounts of data with increasing efficiency and a set of rules that give workers the outcomes they need, cloud computing approaches are deployed. It lessens the need for employees to actively choose components to address issues with supervised, unsupervised, and semi-supervised healthcare data.