PRIVACY PRESERVATION IN: INFORMATION, WEB TECHNOLOGY, SEMANTIC WEB, PARALLEL AND CLOUD COMPUTING
With new-generation technology, the volume of data used is increasing every day. Users are encouraged to conduct day-to-day and analysis tasks in the field of data processing through technologies, which increases the automation of certain human-machine interactions around the world. The only infrastructure house proposed in today's scenario to accommodate the expanded data population is cloud data storage. With numerous services and implementation configurations, the cloud infrastructure platform aids in the management and maintenance of records. Data backup on local servers is greatly aided by outsourcing data to the cloud. However, the protection of outsourced data remains a challenge. The lack of consumer data privacy has an effect on cloud service reliability. The majority of researchers have suggested several security mechanisms that help to ensure privacy in the cloud for a specific standard. According to a study conducted by different scholars, there is currently no full privacy preservation scheme accessible in the world. A comparative analysis of cloud privacy protection strategies is presented in this article, which gives a good picture of the privacy problems and approaches for preserving privacy in cloud data storage.
Cloud computing, Privacy, Data Security, Data storage, Access control.