An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computing

Nowadays, an increasing number of cloud users including both individuals and enterprises store their Internet of things data in cloud for benefits like cost saving. However, the cloud storage service is often regarded to be untrusted due to their loss of direct control over the data. Hence, it is ne...

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Main Authors: Meng Liu, Xuan Wang, Chi Yang, Zoe Lin Jiang, Ye Li
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147716686579
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author Meng Liu
Xuan Wang
Chi Yang
Zoe Lin Jiang
Ye Li
author_facet Meng Liu
Xuan Wang
Chi Yang
Zoe Lin Jiang
Ye Li
author_sort Meng Liu
collection DOAJ
description Nowadays, an increasing number of cloud users including both individuals and enterprises store their Internet of things data in cloud for benefits like cost saving. However, the cloud storage service is often regarded to be untrusted due to their loss of direct control over the data. Hence, it is necessary to verify the integrity of their data on cloud storage servers via a third party. In real cloud systems, it is very important to improve the performance of the auditing protocol. Hence, the well-designed and cost-effective auditing protocol is expected to meet with the performance requirement while the data size is very large in real cloud systems. In this article, we also propose an auditing protocol based on pairing-based cryptography, which can reduce the computation cost compared to the state-of-the-art third-party auditing protocol. Moreover, we also study how to determine the number of sectors to achieve the optimal performance of our auditing protocol in a case of the same challenged data. And an equation for computing the optimal number of sectors is proposed to further improve the performance of our auditing protocol. Both the mathematical analysis method and experiment results show that our solution is more efficient.
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spelling doaj-art-bee3dacda91a4012945920d337043ce02025-08-20T03:22:59ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-01-011310.1177/1550147716686579An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computingMeng Liu0Xuan Wang1Chi Yang2Zoe Lin Jiang3Ye Li4School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, ChinaComputer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, ChinaCommonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT, AustraliaComputer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, ChinaComputer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, ChinaNowadays, an increasing number of cloud users including both individuals and enterprises store their Internet of things data in cloud for benefits like cost saving. However, the cloud storage service is often regarded to be untrusted due to their loss of direct control over the data. Hence, it is necessary to verify the integrity of their data on cloud storage servers via a third party. In real cloud systems, it is very important to improve the performance of the auditing protocol. Hence, the well-designed and cost-effective auditing protocol is expected to meet with the performance requirement while the data size is very large in real cloud systems. In this article, we also propose an auditing protocol based on pairing-based cryptography, which can reduce the computation cost compared to the state-of-the-art third-party auditing protocol. Moreover, we also study how to determine the number of sectors to achieve the optimal performance of our auditing protocol in a case of the same challenged data. And an equation for computing the optimal number of sectors is proposed to further improve the performance of our auditing protocol. Both the mathematical analysis method and experiment results show that our solution is more efficient.https://doi.org/10.1177/1550147716686579
spellingShingle Meng Liu
Xuan Wang
Chi Yang
Zoe Lin Jiang
Ye Li
An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computing
International Journal of Distributed Sensor Networks
title An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computing
title_full An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computing
title_fullStr An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computing
title_full_unstemmed An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computing
title_short An efficient secure Internet of things data storage auditing protocol with adjustable parameter in cloud computing
title_sort efficient secure internet of things data storage auditing protocol with adjustable parameter in cloud computing
url https://doi.org/10.1177/1550147716686579
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