Publication | Closed Access
Blockchain Based Data Integrity Service Framework for IoT Data
362
Citations
18
References
2017
Year
Unknown Venue
Iot DataData IntegrityEngineeringInformation SecurityCloud ComputingVerificationAvailable FrameworksData PrivacyBlockchain ProtocolIot SecurityInternet Of ThingsTpa-based FrameworksCloud-based InternetBlockchainData SecurityCryptographyIntegrity Verification
Ensuring data integrity for cloud‑based IoT is difficult because of its dynamic nature, and existing public‑audit frameworks that rely on third‑party auditors are unreliable in such environments. The authors propose a blockchain‑based Data Integrity Service framework that provides reliable verification for data owners and consumers without third‑party auditors, and they present its protocols and a prototype system. The prototype system is implemented and its performance is evaluated through tests that demonstrate the feasibility of the proposed framework. The study establishes a foundation for future research on dynamic data integrity verification in fully decentralized settings.
It is a challenge to ensure data integrity for cloud-based Internet of Things (IoT) applications because of the inherently dynamic nature of IoT data. The available frameworks of data integrity verification with public auditability cannot avoid the Third Party Auditors (TPAs). However, in a dynamic environment, such as the IoT, the reliability of the TPA-based frameworks is far from being satisfactory. In this paper, we propose a blockchain-based framework for Data Integrity Service. Under such framework, a more reliable data integrity verification can be provided for both the Data Owners and the Data Consumers, without relying on any Third Party Auditor (TPA). In this paper, the relevant protocols and a subsequent prototype system, which is implemented to evaluate the feasibility of our proposals, are presented. The performance evaluation of the implemented prototype system is conducted, and the test results are discussed. The work lays a foundation for our future work on dynamic data integrity verification in a fully decentralized environment.
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