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DPoSt: Dynamic Proof of Storage-time

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Proof of storage-time (PoSt) enforces highly reliable data storage services to data owners by providing lightweight and continuous data availability or possession checks to the uploaded data. Despite being promising, current PoSt schemes mainly focus on static data that will not change after a PoSt process starts. This limitation, however, would largely undermine the practicality of PoSt schemes as they cannot be effectively used for important and emerging cloud storage services like document sharing, code collaboration, and website management that will modify the uploaded data whenever needed. In this paper, we propose DPoSt, a new PoSt system that provides continuous auditing protection to data owners while supporting efficient data updates. DPoSt is built with a tailored suite of cryptographic primitives to update the intermediate auditing proofs while reducing the changes we need to conduct for subsequent challenge and proof pairs in the PoSt process. We develop a prototype of DPoSt, and the evaluation results demonstrate the efficiency of DPoSt for supporting dynamic PoSt operations.

© 2024 IEEE
Original languageEnglish
Title of host publicationProceedings - 2024 20th International Conference on Mobility, Sensing and Networking (MSN 2024)
PublisherIEEE
Number of pages8
ISBN (Electronic)979-8-3315-1602-4
DOIs
Publication statusPublished - Dec 2024
Event20th International Conference on Mobility, Sensing and Networking (MSN 2024) - Harbin, China
Duration: 20 Dec 202422 Dec 2024
https://ieee-msn.org/2024/

Conference

Conference20th International Conference on Mobility, Sensing and Networking (MSN 2024)
PlaceChina
CityHarbin
Period20/12/2422/12/24
Internet address

Funding

This work was supported in part by National Nature Science Foundation of China under Grant 6220239, and by Guangdong Basic and Applied Basic Research Foundation under Grant 2023A151514013. Chengjun CAI is the corresponding author.

Research Keywords

  • Cloud outsourced storage
  • continuous data availability
  • proof of storage

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