Integrity as a service for replicated data on the cloud

Abo-Alian, Alshaimaa; Badr, Nagwa L.; Tolba, Mohamed F.

doi:10.1002/cpe.3883

Cited by 14 publications

(7 citation statements)

References 54 publications

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“…A qualitative comparison between the proposed scheme and existing multi‐replica dynamic schemes is shown in Table . As seen, the work of Barsoum and Hasan and the proposed scheme are far more efficient than the works of Wang et al and Abo‐alian et al considering the storage and communication costs. In the work of Barsoum and Hasan and our scheme, the storage overhead is independent of the number of replicas n .…”

Section: Discussionmentioning

confidence: 79%

“…Moreover, transferring AAI from the CSP to the TPA during verification is eliminated. This is because the work of Barsoum and Hasan and our scheme adopt the MVT, while the works of Wang et al and Abo‐alian et al utilize the MHT and skip lists, respectively. Different from the work of Barsoum and Hasan, the proposed scheme introduces ID‐based signature (IBS) and proposes a fine‐grained dynamic update mechanism.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, despite of communication cost optimization, the size of AAI was still dependent on the size of the challenged data, which was impractical when considering a large amount of distributed data stored in the cloud. Dynamic multi‐replica schemes based on the skip list or the MHT incurred heavy storage and communication overheads. This was because these dynamic data structures have to store the hash codes of all replicas and transfer the AAI during verification.…”

Section: Introductionmentioning

confidence: 99%

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ID‐based dynamic replicated data auditing for the cloud

Cai

Sinnott

et al. 2018

Concurrency and Computation

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Summary As an essential component of cloud computing, cloud storage provides flexible data storage services for individuals and organizations. By storing multiple replicas of data in servers, cloud storage providers (CSPs) can improve availability and stability of the cloud storage service. To ensure that all data replicas of a cloud user are intact and completely stored in the CSP, many multi‐replica cloud auditing schemes have been proposed. However, such schemes are predominantly based on the public key infrastructure (PKI), which incurs complex certificate management. In addition, existing schemes do not consider support for sector‐level dynamic auditing. In this paper, we propose a fine‐grained dynamic multi‐replica data auditing scheme that has the following features: (1) it uses ID‐based cryptography to eliminate the cost of certificate management, (2) it supports efficient sector‐level dynamic operations on cloud user data, and (3) it optimizes the challenge algorithm to reduce the computational cost of the third party auditor (TPA). We show that the proposed scheme is provably secure based on a random oracle model. The performance analysis and experiments show the efficiency of the proposed scheme.

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Section: Discussionmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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ID‐based dynamic replicated data auditing for the cloud

Cai

Sinnott

et al. 2018

Concurrency and Computation

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“…The replica storage, Curtmola et al [39] also created a tag for data blocks similarly ( ) , wherein denotes the j-th data block of i-th copy. Currently several solutions that adapted RSA method just change the hash function, such as [40] and [41].…”

Section: ) Rsa-based Homomorphic Methodsmentioning

confidence: 99%

Security and Privacy of Cloud Data Auditing Protocols: A Review, State-of-the-art, Open Issues, and Future Research Directions

Farooq,

Idrus,

Ahmad

et al. 2023

IJACSA

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Cloud service providers offer a trustworthy and resistant-based storage environment for on-demand cloud services to outsource clients' data. Several researchers and business entities currently adopt cloud services to store their data in remote cloud storage servers for cost-saving purposes. Cloud storage offers numerous advantages to users like scalability, low capital expenses, and data available from any place, anytime, regardless of location and device. However, as the users lose physical access and control over data, the storage service raises security and privacy issues, such as confidentiality, integrity, and availability of outsourced data. Data integrity is a primary concern for cloud users to confirm whether data integrity is intact or not. This paper presents a comprehensive review of cloud data auditing schemes and a comparative analysis of the desirable features. Furthermore, it provides advantages and disadvantages of the state-of-the-art techniques and a performance comparison regarding the communicational and computational costs of involved entities. It also highlights desirable features of different techniques, open issues, and future research trends of cloud data auditing protocols.

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“…Using ECCs can work only on a specified number of losses, and, if it goes beyond this number, the original data cannot be recovered. Therefore, Liu et al [ 22 ], Abo-alian et al [ 23 , 24 ], and Curtmola et al [ 25 ] use another approach, i.e. The user uploads multiple replicas for his file to the PCS, and the TPA can check the integrity of all these replicas (data replication).…”

Section: Related Work Critical Analysismentioning

confidence: 99%

A novel approach to data integrity auditing in PCS: Minimising any Trust on Third Parties (DIA-MTTP)

2021

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Data Integrity Auditing (DIA) is a security service for verifying the integrity of outsourced data in Public Cloud Storage (PCS) by users or by Third-Party Auditors (TPAs) on behalf of the users. This paper proposes a novel DIA framework, called DIA-MTTP. The major novelty of the framework lies in that, while providing the DIA service in a PCS environment, it supports the use of third parties, but does not require full trust in the third parties. In achieving this property, a number of ideas also have been embedded in the design. These ideas include the use of multiple third parties and a hierarchical approach to their communication structure making the service more suited to resource-constrained user devices, the provision of two integrity assurance levels to balance the trade-off between security protection levels and the costs incurred, the application of a data deduplication measure to both new data and existing data updates to minimise the number of tags (re-)generated. In supporting the dynamic data and deduplication measure, a distributed data structure, called Multiple Mapping Tables (M2T), is proposed. Security analysis indicates that our framework is secure with the use of untrusted third parties. Performance evaluation indicates that our framework imposes less computational, communication and storage overheads than related works.

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Integrity as a service for replicated data on the cloud

Cited by 14 publications

References 54 publications

ID‐based dynamic replicated data auditing for the cloud

ID‐based dynamic replicated data auditing for the cloud

Security and Privacy of Cloud Data Auditing Protocols: A Review, State-of-the-art, Open Issues, and Future Research Directions

A novel approach to data integrity auditing in PCS: Minimising any Trust on Third Parties (DIA-MTTP)

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