Data Privacy and Security Model in Cloud Environments

The privacy and security of data stored in cloud environments remain a significant challenge for organizations and individual users. Since data is stored in different physical locations, data security and privacy are particularly critical in cloud environments. Today, data privacy and security are the main concerns of governments, organizations, academics, and IT industry experts. The future development of cloud computing depends on providing reliable data privacy and security solutions. The current study performs an in-depth assessment of data privacy and security issues affecting individual users and organizations. The analysis is followed up by a suggested solution of an adequate data security and privacy model based on a combination of file encryption and service fragmentation. Specifically, the development of the analysis and security model focuses on the Linux operating system. Finally, extensive simulation results prove that the proposed model gives more privacy accuracy and reliability in cloud environments.