A Verifiable Deletion Protocol for Enhancing Constraints on Public Clouds

Public cloud environments enable multiparty collaboration and data sharing but are also prone to significant security challenges, particularly regarding verifiable data deletion. Existing tightly coupled protocols fall short in ensuring that deletion behaviors are executed honestly, leaving users unable to verify if their data has been truly erased. In this article, we address this critical issue by proposing a novel protocol paradigm to verify deletion behavior in public clouds. Our approach introduces the concepts of uncertainty requests and uncertainty roles, which obfuscate the cloud’s attack perspective by decoupling the relationship between deletion requests and credential responses. This decoupling prevents the cloud from identifying the requester’s identity or linking credentials to specific deletion requests, thereby imposing strict constraints on deletion behavior and enhancing resistance to unauthorized data retention. We formally define the security properties of our paradigm and provide a concrete instantiation of the protocol. Our security proofs demonstrate that the proposed protocol not only verifies deletion behavior but also resists backup attacks, targeting users, data blocks, and deletion requests. For performance, our experiments demonstrate from both computational efficiency and effectiveness evaluation. The results reveal lower computational overhead and superior security, making it highly suitable for practical deployment in public cloud environments.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-10-24
DOI
https://doi.org/10.1109/jiot.2024.3485636
Citations
3
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
2.34

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article

A Verifiable Deletion Protocol for Enhancing Constraints on Public Clouds

Xiaohui Ding, Zhiqiang Zhang, Yan Jiang, Jian Wang et al.
3 citations
IEEE Internet of Things Journal
Cloud Computing and Resource Management
2.34
article

A Verifiable Deletion Protocol for Enhancing Constraints on Public Clouds

Xiaohui Ding, Zhiqiang Zhang, Yan Jiang, Jian Wang, Youwen Zhu
article en
3 citations

Abstract

Public cloud environments enable multiparty collaboration and data sharing but are also prone to significant security challenges, particularly regarding verifiable data deletion. Existing tightly coupled protocols fall short in ensuring that deletion behaviors are executed honestly, leaving users unable to verify if their data has been truly erased. In this article, we address this critical issue by proposing a novel protocol paradigm to verify deletion behavior in public clouds. Our approach introduces the concepts of uncertainty requests and uncertainty roles, which obfuscate the cloud’s attack perspective by decoupling the relationship between deletion requests and credential responses. This decoupling prevents the cloud from identifying the requester’s identity or linking credentials to specific deletion requests, thereby imposing strict constraints on deletion behavior and enhancing resistance to unauthorized data retention. We formally define the security properties of our paradigm and provide a concrete instantiation of the protocol. Our security proofs demonstrate that the proposed protocol not only verifies deletion behavior but also resists backup attacks, targeting users, data blocks, and deletion requests. For performance, our experiments demonstrate from both computational efficiency and effectiveness evaluation. The results reveal lower computational overhead and superior security, making it highly suitable for practical deployment in public cloud environments.

IEEE Internet of Things JournalVol. 12(4)
Nanjing University of Aeronautics and Astronautics (CN)
Jiangsu Provincial Key Research and Development Program
Openalex Percentile: Top 9%
Cloud Computing and Resource Management
2.34
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