Assure deletion supporting dynamic insertion for outsourced data in cloud computing
With the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. In cloud storage, the resource-constraint data owners can outsource their large-scale data to the remote cloud server, by which they can greatly reduce local storage overhe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2020-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720958294 |
| _version_ | 1826993147000913920 |
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| author | Changsong Yang Yueling Liu Xiaoling Tao |
| author_facet | Changsong Yang Yueling Liu Xiaoling Tao |
| author_sort | Changsong Yang |
| collection | DOAJ |
| description | With the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. In cloud storage, the resource-constraint data owners can outsource their large-scale data to the remote cloud server, by which they can greatly reduce local storage overhead and computation cost. Despite plenty of attractive advantages, cloud storage inevitably suffers from some new security challenges due to the separation of outsourced data ownership and its management, such as secure data insertion and deletion. The cloud server may maliciously reserve some data copies and return a wrong deletion result to cheat the data owner. Moreover, it is very difficult for the data owner to securely insert some new data blocks into the outsourced data set. To solve the above two problems, we adopt the primitive of Merkle sum hash tree to design a novel publicly verifiable cloud data deletion scheme, which can also simultaneously achieve provable data storage and dynamic data insertion. Moreover, an interesting property of our proposed scheme is that it can satisfy private and public verifiability without requiring any trusted third party. Furthermore, we formally prove that our proposed scheme not only can achieve the desired security properties, but also can realize the high efficiency and practicality. |
| first_indexed | 2024-03-12T06:18:27Z |
| format | Article |
| id | doaj.art-1c52210413384c62baa8833476f67f18 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2025-02-18T09:00:33Z |
| publishDate | 2020-09-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-1c52210413384c62baa8833476f67f182024-11-02T23:53:06ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772020-09-011610.1177/1550147720958294Assure deletion supporting dynamic insertion for outsourced data in cloud computingChangsong Yang0Yueling Liu1Xiaoling Tao2Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, Shanghai, ChinaGuangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems, Guilin University of Electronic Technology, Guilin, ChinaGuangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, ChinaWith the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. In cloud storage, the resource-constraint data owners can outsource their large-scale data to the remote cloud server, by which they can greatly reduce local storage overhead and computation cost. Despite plenty of attractive advantages, cloud storage inevitably suffers from some new security challenges due to the separation of outsourced data ownership and its management, such as secure data insertion and deletion. The cloud server may maliciously reserve some data copies and return a wrong deletion result to cheat the data owner. Moreover, it is very difficult for the data owner to securely insert some new data blocks into the outsourced data set. To solve the above two problems, we adopt the primitive of Merkle sum hash tree to design a novel publicly verifiable cloud data deletion scheme, which can also simultaneously achieve provable data storage and dynamic data insertion. Moreover, an interesting property of our proposed scheme is that it can satisfy private and public verifiability without requiring any trusted third party. Furthermore, we formally prove that our proposed scheme not only can achieve the desired security properties, but also can realize the high efficiency and practicality.https://doi.org/10.1177/1550147720958294 |
| spellingShingle | Changsong Yang Yueling Liu Xiaoling Tao Assure deletion supporting dynamic insertion for outsourced data in cloud computing International Journal of Distributed Sensor Networks |
| title | Assure deletion supporting dynamic insertion for outsourced data in cloud computing |
| title_full | Assure deletion supporting dynamic insertion for outsourced data in cloud computing |
| title_fullStr | Assure deletion supporting dynamic insertion for outsourced data in cloud computing |
| title_full_unstemmed | Assure deletion supporting dynamic insertion for outsourced data in cloud computing |
| title_short | Assure deletion supporting dynamic insertion for outsourced data in cloud computing |
| title_sort | assure deletion supporting dynamic insertion for outsourced data in cloud computing |
| url | https://doi.org/10.1177/1550147720958294 |
| work_keys_str_mv | AT changsongyang assuredeletionsupportingdynamicinsertionforoutsourceddataincloudcomputing AT yuelingliu assuredeletionsupportingdynamicinsertionforoutsourceddataincloudcomputing AT xiaolingtao assuredeletionsupportingdynamicinsertionforoutsourceddataincloudcomputing |