FAA-Cloud approach to minimize computation overhead using fuzzy-based crypto security

SOFT COMPUTING(2023)

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摘要
In recent days, for performing the data management as there is vast development in the real-time applications as cloud computing plays a vital role. In order to highlight the key management problem, certain files are performing the auditing process and authentication based on deduplication. This auditing and authentication makes gather the data information as it checks the data integrity effectively and storage overhead gets reduced un the cloud environment. In this article, the Fuzzy-based Auditing and Authenticator Cloud (FAA-Cloud) Approach is propose to ensure data authentication for specific data in order to identify the malicious users. Effective data authentication and auditing is performed, which helps to reduce the security by applying the entropy. In the proposed approach, data auditing is performed in managing the file and data authentication helps to optimize the data deduplication. The objective of the FAA-Cloud Approach performs the process of authentication along with file tag as a new form, and it helps enhance the security based on message key generation with randomness. In the performance analysis, the proposed system performs better in terms of reduced computational overhead based on data block generation and authentication accuracy.
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关键词
Deduplication,Authenticator,File auditing,Entropy,Optimization and Fuzzy
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