4.7 Article

OUTSOURCED DATA INTEGRITY CHECKING WITH PRACTICAL KEY UPDATE IN EDGE-CLOUD RESILIENT NETWORKS

期刊

IEEE WIRELESS COMMUNICATIONS
卷 29, 期 3, 页码 56-62

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.002.2100597

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资金

  1. National Natural Science Foundation of China [62102209,61872229, U19B2021]
  2. Shandong Provincial Key Research and Development Program [2021CXGC010107]
  3. Shaanxi Distinguished Youth Project [2022JC-47]
  4. Key Research and Development Program of Shaanxi [2021ZDLGY06-04, 2020ZDLGY09-06]

向作者/读者索取更多资源

The edge-cloud continuum is a new paradigm in cloud computing that brings data storage and compute power closer to users or devices, eliminating lag time and saving bandwidth. However, ensuring secure storage and computation is challenging due to the separation of data ownership and control. This article proposes a framework for outsourced data integrity checking with practical key update in the edge-cloud resilient network. A prototype system was implemented to demonstrate the feasibility of the proposed solution.
The edge-cloud continuum is an advanced paradigm for cloud computing, which brings data storage and compute power closer to users or devices, and as a result, eliminates lag time and saves bandwidth. However, this new paradigm is harsh for secure storage and computation due to the separation of data ownership and control. Data security, especially outsourced data integrity in the edge-cloud resilient network, becomes one of the most fundamental challenges. To check the outsourced data integrity and address the efficient key update issue in this scenario, in this article, we propose a framework of outsourced data integrity checking with a practical key update in the edgecloud resilient network. We first review the existing outsourced data integrity checking algorithms and then put forward a potential solution to achieving outsourced data integrity checking with a practical key update, which is composed of three phases, namely key request and update, local data upload, and outsourced data integrity auditing. We implement a prototype system for our proposal as well, which demonstrates its practicality.

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