Privacy-enhanced remote data integrity checking with updatable timestamp

Wu, Tong; Yang, Guomin; Mu, Yi; Chen, Rongmao; Xu, Shengmin

doi:10.1016/j.ins.2020.03.057

Cited by 9 publications

(11 citation statements)

References 10 publications

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“…Due to the inherent risks of CSP, several TPA-based schemes are proposed to verify that the CSP is honestly providing services [13], [19], [30]. Wang et al [13] presented a method for public audibility in which the TPA is used to verify the integrity of the data stored in the cloud.…”

Section: B Data Verificationmentioning

confidence: 99%

“…In the approach of [30], a privacyaware public audit mechanism is proposed by constructing a homomorphic verifiable group signature. Moreover, the content and timestamp are allowed timestamp verification during data integrity checks in [19]. However, if the TPA is compromised, the verification service may be disrupted.…”

Section: B Data Verificationmentioning

confidence: 99%

“…Since each full node of the blockchain backs up the complete ledger, storing a large amount of verification data on the storage-constrained blocks will result in huge data size and high storage overhead. Furthermore, most of the verifiable schemes focus on data integrity, and several works focus on data integrity in cloud storage, such as the works of [3], [18], [19]. Moreover, the well-known distributed cloud storage commercial platforms such as Storj [20], Sia [21], and Filecoin [22], verify the integrity of stored data by filing metadata on blockchain.…”

mentioning

confidence: 99%

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Blockchain-Assisted Verifiable and Secure Remote Sensing Image Retrieval in Cloud Environment

Ouyang

Mao

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Secure retrieval of remote sensing images in an outsourced cloud environment garners considerable attention. Since the cloud service provider (CSP) is considered as a semitrusted third party that may return incorrect retrieval results to save computational resources or defraud retrieval fees for profit, it becomes a critical challenge to achieve secure and verifiable remote sensing image retrieval. This article presents a secure retrieval and blockchain-assisted verifiable scheme for encrypted remote sensing images in the cloud environment. In response to the characteristic that geographical objects in remote sensing images with clear category attributes, we design a remote sensing image retrieval method to facilitate secure and efficient retrieval. In addition, we propose a verifiable method combined with blockchain and Merkle trees for checking the integrity and correctness of the storage and retrieval services provided by CSP, which can replace the traditional third-party auditor. The security analysis and experimental evaluation demonstrate the security, verifiability, and feasibility of the proposed scheme, achieving secure remote sensing image retrieval while preventing malicious behavior of CSP.

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Section: B Data Verificationmentioning

confidence: 99%

Section: B Data Verificationmentioning

confidence: 99%

mentioning

confidence: 99%

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Blockchain-Assisted Verifiable and Secure Remote Sensing Image Retrieval in Cloud Environment

Ouyang

Mao

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Tong et al [15] devised a technique that delivers indistinguishable privacy (IND-privacy) as compared to TPA for both data content and timestamp It build the authenticator with the randomizable structure-preserving signature to connect the content and timestamp in the authenticator and allow efficient timestamp updating (SPS). Furthermore, in the auditing phase, they use the Groth-Sahai proof and range proof to offer IND-privacy and ensure timestamp validity.…”

Section: IImentioning

confidence: 99%

Privacy and Integrity Verification Model with Decentralized ABE and Double Encryption Storage Scheme

Nair¹,

Santhosh²

2023

IJACSA

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To support a wide range of applications, cloud computing has a variety of services. It has a number of positive acceptance tales as well as a couple of negative ones including security breaches. The versatile usage of cloud services to store Sensitive and personal data in cloud become hesitated by many organizations because of security issues. A new model of relying on a third-party auditor (TPA) has been adopted to improve trust and entice adoption between cloud clients (CC). Hence, we require a dynamic approach to control the privacy and integrity problem that occur across the cloud computing. Decentralized Attribute based encryption techniques and FHE approach is used to overwhelmed the issues. In this proposed scheme, the integrity checking is verified and auditor by the TPA without have any knowledge of the data content and double encryption is performed on the data stored in cloud. the data owner encrypts the data using ABK-XE (Attribute Based Key generation with XOR encryption) technique and send it to tag server whose encrypt the data again using ECEA (Elliptical Curve Elgamal) algorithm and generate the signature and unique ID using SHA-1 algorithm then store the data in Cloud Environment. The proposed algorithm is an integration of auditing scheme with Symmetric key Encryption and Homomorphic Encryption.

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“…e storage services developed to collect the outsourced data reduce their services greatly that affects the local storage essentialities of users. e integrity of data while verifying it is considered as a significant challenge in case of cloud computing [1,2]. e data offloading and downloading, on the contrary, are often considered as a major consideration for testing the integrity of outsourced data, and this will increase dramatically the processing and connection overhead.…”

Section: Introductionmentioning

confidence: 99%

Public Auditing Scheme for Integrity Verification in Distributed Cloud Storage System

Mahalakshmi¹,

Kousalya²,

Shekhar

et al. 2021

Scientific Programming

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Cloud storage provides a potential solution replacing physical disk drives in terms of prominent outsourcing services. A threaten from an untrusted server affects the security and integrity of the data. However, the major problem between the data integrity and cost of communication and computation is directly proportional to each other. It is hence necessary to develop a model that provides the trade-off between the data integrity and cost metrics in cloud environment. In this paper, we develop an integrity verification mechanism that enables the utilisation of cryptographic solution with algebraic signature. The model utilises elliptic curve digital signature algorithm (ECDSA) to verify the data outsources. The study further resists the malicious attacks including forgery attacks, replacing attacks and replay attacks. The symmetric encryption guarantees the privacy of the data. The simulation is conducted to test the efficacy of the algorithm in maintaining the data integrity with reduced cost. The performance of the entire model is tested against the existing methods in terms of their communication cost, computation cost, and overhead cost. The results of simulation show that the proposed method obtains reduced computational of 0.25% and communication cost of 0.21% than other public auditing schemes.

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Privacy-enhanced remote data integrity checking with updatable timestamp

Cited by 9 publications

References 10 publications

Blockchain-Assisted Verifiable and Secure Remote Sensing Image Retrieval in Cloud Environment

Blockchain-Assisted Verifiable and Secure Remote Sensing Image Retrieval in Cloud Environment

Privacy and Integrity Verification Model with Decentralized ABE and Double Encryption Storage Scheme

Public Auditing Scheme for Integrity Verification in Distributed Cloud Storage System

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