MuR-DPA: Top-Down Levelled Multi-Replica Merkle Hash Tree Based Secure Public Auditing for Dynamic Big Data Storage on Cloud

Liu, Chang; Ranjan, Rajiv; Yang, Chi; Zhang, Xuyun; Wang, Lizhe; Chen, Jinjun

doi:10.1109/tc.2014.2375190

Cited by 207 publications

(94 citation statements)

References 23 publications

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“…Since the emerging of cloud computing paradigm, and its data security and privacy has been studied extensively since its one of its main concerns [14], and since traditional technologies for checking data integrity are no longer applicable for environments with remote data [15], a lot of schemes has been proposed to enhance cloud security in terms of its data integrity. Ref.…”

Section: Related Workmentioning

confidence: 99%

A Modified Cloud-Based Cryptographic Agent for Cloud Data Integrity

Hathout

Ghoniemy²,

Ibrahim³

2017

Int. J. Interact. Mob. Technol.

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Abstract-In spite of all the advantages delivered by cloud computing, several challenges are hindering the migration of customer software and data into the cloud. On top of the list is the security and privacy concerns arising from the storage and processing of sensitive data on remote machines that are not owned, or even managed by the customers themselves. In this paper, initially a homomorphic encryption-based Cryptographic Agent is proposed. The proposed Cryptographic Agent is based on Paillier scheme, and is supported by user-configurable software protection and data privacy categorization agents, as well as set of accountable auditing services required to achieve legal compliance and certification. This scheme was tested using different text documents with different sizes. Testing results showed that as the size of the document increases, the size of the generated key increases dramatically causing a major problem in regards to the processing time and the file size especially for large documents. This leaded us to the second part of this research which is: a modified security architecture that adds two major autonomic security detective agents to the multi-agent architecture of cloud data storage. In this paper, we focus on the first agent namely (Automated Master Agent, AMA) that is added to the Multi Agent System Architecture (MASA) layer (cloud client-side) by which any changes happen in the document are mapped in a QR code encoded key print (KP). Experimental results after integrating these agents showed a 100% alternation detection accuracy and a superiority in extracting the KP of large and very large size documents which exceeds the currently available products and leverage the tamper-proof capabilities of cryptographic coprocessors to establish a secure execution domain in the computing cloud that is physically and logically protected from unauthorized access.Keywords-cloud data storage and processing security, document key print, homomorphic encryption, QR Codes. 6

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Section: Related Workmentioning

confidence: 99%

A Modified Cloud-Based Cryptographic Agent for Cloud Data Integrity

Hathout

Ghoniemy²,

Ibrahim³

2017

Int. J. Interact. Mob. Technol.

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“…Another plan intended for secure confirmation with element burrowing is presented. Liu et al, (2015) discussed despite the fact that the plan just requires just a single authenticator for each square, it has two serious downsides. To begin with, since the confirmation procedure requires mystery material, there will be security issues while stretching.…”

Section: Literature Surveymentioning

confidence: 99%

“…Since the confirmation procedure requires mystery material, there will be security issues while stretching. [6] Praveena, A., & Sasikala, C. (2015) proposed a novel privacypreserving mechanism that maintenances public auditing on shared data stored in the cloud. It verifies and control the data integrity.…”

Section: Literature Surveymentioning

confidence: 99%

Content arrangement characteristic based encryption in cloud using public auditing for data management

Jerard¹,

Manimegalai²

2017

IJET

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The encryption standard related to cryptography provide the possible keys with logical standard for sharing and distributing sensitive information sharing worldview in conveyed frameworks. A Content Arrangement Characteristic Based Encryption (CA-CBE) is turning into a promising cryptographic solution for this issue. The cloud needs to provide the view on open auditability. Many methodologies have been discussed on dynamic information administration and on general auditability, however those methodologies suffer from the issue of check overhead and time multifaceted nature. Therefore, it is important to propose a Content Arrangement Characteristic Based Encryption (CA-CBE) scheme for supporting data dynamics over the data operation, like block alteration, block inset, and deletion. Some existing data integrity based research always lacks in dynamic operations and public auditability. By considering this as a motivation, this research is initiated.

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“…Ateniese et al proposed two concrete PDP constructions by making use of RSA-based homomorphic linear authenticators. Due to its necessity and practicability, remote data integrity checking has attracted extensive research interest [7]- [10], [12]- [15], [17]- [22], [26], [27] in recent years. Shacham and Waters [7] proposed the notion of compact proofs of retrievability by making use of publicly verifiable homomorphic authenticators from BLS signature [38].…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al [15] improved the previous PDP models by manipulating the Merkle Hash Tree (MHT) for block tag authentication. A recent work due to Liu et al [26] showed that MHT itself is not enough to verify the block indices, which may lead to replace attack. They gave topdown levelled multi-replica MHT based data auditing scheme for dynamic big data storage on the cloud.…”

Section: Introductionmentioning

confidence: 99%

Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage

Ateniese

et al. 2017

IEEE Trans.Inform.Forensic Secur.

409

211

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Remote data integrity checking (RDIC) enables a data storage server, say a cloud server, to prove to a verifier that it is actually storing a data owner's data honestly. To date, a number of RDIC protocols have been proposed in the literature. However, most of the constructions suffer from the issue of requiring complex key management. That is, they rely on the expensive public key infrastructure (PKI), which might hinder the deployment of RDIC in practice. In this paper, we propose a new construction of identity-based (ID-based) RDIC protocol by making use of key-homomorphic cryptographic primitive to reduce the system complexity and the cost for establishing and managing the public key authentication framework in PKI based RDIC schemes. We formalize ID-based RDIC and its security model including security against a malicious cloud server and zero knowledge privacy against a third party verifier. The proposed ID-based RDIC protocol leaks no information of the stored data to the verifier during the RDIC process. The new construction is proven secure against the malicious server in the generic group model and achieves zero knowledge privacy against a verifier. Extensive security analysis and implementation results demonstrate that the proposed protocol is provably secure and practical in the real-world applications. Abstract-Remote data integrity checking (RDIC) enables a data storage server, say a cloud server, to prove to a verifier that it is actually storing a data owner's data honestly. To date, a number of RDIC protocols have been proposed in the literature. However, most of the constructions suffer from the issue of requiring complex key management. That is, they rely on the expensive public key infrastructure (PKI), which might hinder the deployment of RDIC in practice. In this paper, we propose a new construction of identity-based (ID-based) RDIC protocol by making use of key-homomorphic cryptographic primitive to reduce the system complexity and the cost for establishing and managing the public key authentication framework in PKI based RDIC schemes. We formalize ID-based RDIC and its security model including security against a malicious cloud server and zero knowledge privacy against a third party verifier. The proposed ID-based RDIC protocol leaks no information of the stored data to the verifier during the RDIC process. The new construction is proven secure against the malicious server in the generic group model and achieves zero knowledge privacy against a verifier. Extensive security analysis and implementation results demonstrate that the proposed protocol is provably secure and practical in the real-world applications.

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MuR-DPA: Top-Down Levelled Multi-Replica Merkle Hash Tree Based Secure Public Auditing for Dynamic Big Data Storage on Cloud

Cited by 207 publications

References 23 publications

A Modified Cloud-Based Cryptographic Agent for Cloud Data Integrity

A Modified Cloud-Based Cryptographic Agent for Cloud Data Integrity

Content arrangement characteristic based encryption in cloud using public auditing for data management

Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage

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