| Title | Secure Cloud Data Deduplication with Efficient Re-Encryption |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Aman, Mohd, Verma, Prashant, Rajeswari, D |
| Conference Name | 2021 International Conference on Intelligent Technologies (CONIT) |
| Date Published | jun |
| Keywords | Access Control, AONT, cloud, cloud computing, Computer architecture, data deduplication, data privacy, Encryption, Metals, pubcrawl, Public key, Redundancy, REED, resilience, Resiliency, RSA, Scalability, user privacy in the cloud |
| Abstract | After the emergence of the cloud architecture, many companies migrate their data from conventional storage i.e., on bare metal to the cloud storage. Since then huge amount of data was stored on cloud servers, which later resulted in redundancy of huge amount of data. Hence in this cloud world, many data de-duplication techniques has been widely used. Not only the redundancy but also made data more secure and privacy of the existing data were also increased. Some techniques got limitations and some have their own advantages based on the requirements. Some of the attributes like data privacy, tag regularity and interruption to brute-force attacks. To make data deduplication technique more efficient based on the requirements. This paper will discuss schemes that brace user-defined access control, by allowing the service provider to get information of the information owners. Thus our scheme eliminates redundancy of the data without breaching the privacy and security of clients that depends on service providers. Our lastest deduplication scheme after performing various algorithms resulted in conclusion and producing more efficient data confidentiality and tag consistency. This paper has discussion on various techniques and their drawbacks for the effectiveness of the deduplication. |
| DOI | 10.1109/CONIT51480.2021.9498487 |
| Citation Key | aman_secure_2021 |
Secure Cloud Data Deduplication with Efficient Re-Encryption