A secure data privacy preservation for on-demand

Autor: Dhasarathan Chandramohan, Thirumal Vengattaraman, Ponnurangam Dhavachelvan
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Journal of King Saud University: Engineering Sciences, Vol 29, Iss 2, Pp 144-150 (2017)
Druh dokumentu: article
ISSN: 1018-3639
DOI: 10.1016/j.jksues.2015.12.002
Popis: This paper spotlights privacy and its obfuscation issues of intellectual, confidential information owned by insurance and finance sectors. Privacy risk in business era if authoritarians misuse secret information. Software interruptions in steeling digital data in the name of third party services. Liability in digital secrecy for the business continuity isolation, mishandling causing privacy breaching the vicinity and its preventive phenomenon is scrupulous in the cloud, where a huge amount of data is stored and maintained enormously. In this developing IT-world toward cloud, users privacy protection is becoming a big question , albeit cloud computing made changes in the computing field by increasing its effectiveness, efficiency and optimization of the service environment etc, cloud users data and their identity, reliability, maintainability and privacy may vary for different CPs (cloud providers). CP ensures that the user’s proprietary information is maintained more secretly with current technologies. More remarkable occurrence is even the cloud provider does not have suggestions regarding the information and the digital data stored and maintained globally anywhere in the cloud. The proposed system is one of the obligatory research issues in cloud computing. We came forward by proposing the Privacy Preserving Model to Prevent Digital Data Loss in the Cloud (PPM–DDLC). This proposal helps the CR (cloud requester/users) to trust their proprietary information and data stored in the cloud.
Databáze: Directory of Open Access Journals