Abstract
Large amount of data are being produce by Internet-of-things sensor networks and applications. Secure and efficient deduplication of Internet-of-things data in the cloud is vital to the prevalence of Internet-of-things applications. In order to ensure data security for deduplication, different data should be assigned with different privacy levels. We propose a deduplication scheme based on threshold dynamic adjustment to ensure the security of data uploading and related operations. The concept of the ideal threshold is introduced for the first time, which can be used to eliminate the drawbacks of the fixed threshold in traditional schemes. The item response theory is adopted to determine the sensitivity of different data and their privacy score, which ensures the applicability of data privacy score. It can solve the problem that some users care little about the privacy issue. We propose a privacy score query and response mechanism based on data encryption. On this basis, the dynamic adjustment method of the popularity threshold is designed for data uploading. Experiment results and analysis show that the proposed scheme based on threshold dynamic adjustment has decent scalability and practicability.
Highlights
With the rapid development of Internet-of-things (IoT) sensor networks and applications, an increasing amount of data are generated and stored in cloud services
Statistics show that up to 60% of the data stored in cloud storage are redundant data,[2] and a large amount of cloud storage resources are consumed, which greatly increases the cost of storage and maintenance of the cloud storage providers (CSPs), especially for IoT-sensor network–based applications.[3]
We propose a deduplication scheme suitable for IoT sensor networks based on threshold dynamic adjustment to ensure the security of upload data and related operations
Summary
With the rapid development of Internet-of-things (IoT) sensor networks and applications, an increasing amount of data are generated and stored in cloud services. Some CSP provides users with client-side encryption options, allowing users or IoT sensor networks to encrypt the data before uploading them This method can effectively protect data privacy. When internal confidential files of a company are uploaded, according to the user’s understanding of the privacy level, the CSP could set a relatively large threshold for it, thereby effectively avoiding premature execution of deduplication and better protecting the user data. Our work makes the following contribution: We propose a deduplication scheme suitable for IoT sensor networks based on threshold dynamic adjustment to ensure the security of upload data and related operations. The CSP calculates the popularity threshold T for M based on PR and performs deduplication operation according to the actual value of T This reduces the consumption of storage space and avoids the leakage of privacy data. The CSP is not trusted from the fact that users do not expect their private information to be known by any third party
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