Data integrity verification privacy preserving approach of cloud using Third Party Auditor and multithreading

Thosar, Sonali D.; Sonewar, Piyush A.

doi:10.1109/iccubea.2016.7860068

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…However, few of them specifically refer to search methods of corrupted data files once the batch auditing task fails. We compare the search time of corrupted files between the Lucas search (the method is proposed by our scheme) and Binary search [44] (the method is proposed by schemes [31], [45]). The Lucas search only audits 38.2% of all data files at a time, while Binary search needs to audit 50% of all data files at a time.…”

Section: ) Search Methods Of Corrupted Data Filesmentioning

confidence: 99%

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An Efficient Lucas Sequence-Based Batch Auditing Scheme for the Internet of Medical Things

Han

Liu

et al. 2019

IEEE Access

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The Internet of Medical Things (IoMT) is one of the most promising applications of the newly emerging wearable devices and body-area networks. Generally, the IoMT devices are composed of lightweight facilities, which collect the health data (i.e., heart rate, body temperature, and respiratory rate) and upload them to the cloud. As the medical information is sensitive for the data owners (DOs), it is critical to ensure the integrity and confidentiality of these outsourced data. Normally, blinding (or encryption) and auditing are classical methods for achieving these goals. However, until to now, quite a few batch auditing schemes have been proposed, and they all share the following two shortcomings: 1) lacking of an efficient mechanism to identify the corrupted data files once the batch auditing task fails and 2) the communication overhead of audit phase increases linearly with the number of data files being audited or the number of data blocks being challenged. In order to overcome the above issues, in this paper, we propose an efficient batch auditing scheme based on the Lucas sequence for IoMT. To be specific, utilizing the self-query technique and polynomial commitment technique, we reduce the communication complexity of the batch auditing phase from linear to a constant scale. In addition, according to the recursion of the Lucas sequence, we design a novel search method for efficiently identifying the corrupted data files when the batch auditing task fails. The security of our scheme ensures that curious third-party auditor and cloud service provider cannot gain any real-data contents of the DO files. The detailed experiments show that our scheme is more efficient than the existing batch auditing schemes in terms of the communication overhead of the audit phase and the efficiency in identifying the corrupted files when the batch auditing task fails.INDEX TERMS Batch auditing, cloud storage, constant-size communication overhead, Lucas search, medical data integrity.

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Section: ) Search Methods Of Corrupted Data Filesmentioning

confidence: 99%

“…It means that the computational burden of TPA and CSP is greatly reduced in our designed method. According to [31] and [45], the ratio of error files to correct files is quite small. Without loss of generality, we assume that this ratio is 0.1% and the prior probability is 90% in our experiments.…”

Section: ) Search Methods Of Corrupted Data Filesmentioning

confidence: 99%

An Efficient Lucas Sequence-Based Batch Auditing Scheme for the Internet of Medical Things

Han

Liu

et al. 2019

IEEE Access

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Integrating Fuzzy Logic and Dynamic Programming in Multithreaded Concurrent File Transfer Schemes

Sermeno

Orquia

2021

2021 Second International Conference on Innovative Technology Convergence (CITC)

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Data integrity verification privacy preserving approach of cloud using Third Party Auditor and multithreading

Cited by 2 publications

References 7 publications

An Efficient Lucas Sequence-Based Batch Auditing Scheme for the Internet of Medical Things

An Efficient Lucas Sequence-Based Batch Auditing Scheme for the Internet of Medical Things

Integrating Fuzzy Logic and Dynamic Programming in Multithreaded Concurrent File Transfer Schemes

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