Data Deduplication Scheme with Multiple Key Servers in Public Clouds
Bhautik Gosai, Manik Lal Das · 2021
Data storage in clouds and data access from clouds have become routine activities by individuals as well as corporate because of ease of accessibility, availability, shareability and low-cost storage facility provided by the cloud service providers. While seeing multiple advantages in cloud storage, data duplication has been seen a concern in terms of data ownership, data redundancy, and data quality. Data deduplication mechanism not only minimizes the concern, but also gains customer confidence in storing/providing authentic data in cloud storage, which also achieves better storage space efficiently in the clouds. Data deduplication mechanism becomes easy when data are stored in plaintext, but challenging when data are stored in an encrypted form. In this paper, a scheme with strong tag consistency is proposed that can address data deduplication in storage of encrypted data. The proposed scheme performs tag based deduplication at the file levels with a non-interactive self-generation deduplication decision tree based on randomized tagging files. The scheme provides strong tag consistency and identifies fake file upload attack.