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DC Field | Value | Language |
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dc.contributor.author | Aruna M G | |
dc.contributor.author | Mohan K G | |
dc.date.accessioned | 2022-05-23T08:44:17Z | - |
dc.date.available | 2022-05-23T08:44:17Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | International Journal of Innovative Technology and Exploring Engineering (IJITEE) | |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1770 | - |
dc.description.abstract | The widespread adoption of multi-cloud in enterprises is one of the root causes of cost-effectiveness. Cloud service providers reduce storage costs through advanced data de-duplication, which also provides vulnerabilities for attackers. Traditional approaches to authentication and data security for a single cloud need to be upgraded to be best suitable for cloud-to-cloud data migration security in order to mitigate the impact of dictionary and template attacks on authentication and data integrity, respectively. This paper proposes a scheme of user layer authentication along with lightweight cryptography. The proposed simulates its mathematical model to analyze the behavioral pattern of time-complexity of data security along with user auth protection. The performance pattern validates the model for scalability and reliability against both authentication and data integrity. | |
dc.format.extent | 9 | |
dc.language.iso | en | |
dc.publisher | Blue Eyes Intelligence Engineering & Sciences Publication | |
dc.title | Mitigating the Threat due to Data Deduplication Attacks in Cloud Migration using User Layer Authentication with Light Weight Cryptography | |
dc.type | Article | |
Appears in Collections: | Computer Science Engineering Department |
Files in This Item:
File | Size | Format | |
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CSE-23.docx | 13.84 kB | Microsoft Word XML | View/Open |
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