Efficient auditing for shared data in the cloud with secure user revocation and computations outsourcing

Luo, Yuchuan; Xu, Ming; Huang, Kai; Wang, Dongsheng; Fu, Shaojing

doi:10.1016/j.cose.2017.12.004

Cited by 37 publications

(19 citation statements)

References 9 publications

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“…The overall evaluation of the research work is implemented in the cloud simualitn and client access control is performed efficiently. Luo et al [41] proposed a novel open inspecting plan for the honesty of imparted information to proficient conspiracy safe client renouncement. Furthermore, we stretch out the proposed plan to help safely signature and confirmation re-appropriating, which permit more productivity for gathering clients and the examiner.…”

Section: Discussion Of Different Dynamic Grouping Techniquesmentioning

confidence: 99%

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

Reddy*,

Ravindranadh

2019

IJITEE

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Cloud service is the most popular environment utilized by millions of users for different kind of service utilization. Cloud services needs to be provided with the concern of satisfying user requirements to increase their popularity level. The main issues associated with cloud service handling are maintaining integrity of data, user management, secured data transmission and so on. These issues are addressed by various authors by introducing the different methodologies. In this analysis work, discussion about those research techniques has been given with the detailed explanation. This paper provides the overview about the different research techniques whose main goal is to achieve the increase the data integrity level of the shared data. This paper also provides the discussion about various dynamic grouping techniques which tends to provide more flexible access to the user revocation. Different research techniques proposed by various authors has been described and compared their performance in terms of merits and demerits each research technique. The overall evaluation of the research technique is done based on numerical outcome present in each research technique and best research technique has been found

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Section: Discussion Of Different Dynamic Grouping Techniquesmentioning

confidence: 99%

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

Reddy*,

Ravindranadh

2019

IJITEE

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“…We also note that in SMC, no trusted third party is needed for secure computation. This kind of technology has been widely used in many secure outsourced computation areas [31,40,41]. Recently, SMC and homomorphic cryptosystem [23] have been adopted to build privacy-preserving data mining classifiers [15,20,42].…”

Section: Related Workmentioning

confidence: 99%

Towards an Efficient Privacy-Preserving Decision Tree Evaluation Service in the Internet of Things

Liu

Zhao

et al. 2020

Symmetry

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With the fast development of the Internet of Things (IoT) technology, normal people and organizations can produce massive data every day. Due to a lack of data mining expertise and computation resources, most of them choose to use data mining services. Unfortunately, directly sending query data to the cloud may violate their privacy. In this work, we mainly consider designing a scheme that enables the cloud to provide an efficient privacy-preserving decision tree evaluation service for resource-constrained clients in the IoT. To design such a scheme, a new secure comparison protocol based on additive secret sharing technology is proposed in a two-cloud model. Then we introduce our privacy-preserving decision tree evaluation scheme which is designed by the secret sharing technology and additively homomorphic cryptosystem. In this scheme, the cloud learns nothing of the query data and classification results, and the client has no idea of the tree. Moreover, this scheme also supports offline users. Theoretical analyses and experimental results show that our scheme is very efficient. Compared with the state-of-art work, both the communication and computational overheads of the newly designed scheme are smaller when dealing with deep but sparse trees.

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“…A number of protocols designed to verify the data integrity in the cloud and various techniques used for auditing. In all these protocols, the data owner computes a signature on each block of the data and outsources the data together with the corresponding signatures to the cloud [8]. A typical third-party auditing scheme includes three parties such as the data owner who outsources its data and signatures into the data center [9].…”

Section: Introductionmentioning

confidence: 99%

Efficient and Secure Cloud Storage Auditing Based on the Diffie-Hellman Key Exchange

Yarava¹,

Singh²

2019

IJIES

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Cloud storage auditing technique helps to verify the data integrity in the cloud on behalf of the user. Earlier researcher proposed many techniques on the cloud auditing, but it still lags in computational overhead for the resource constraint users. In this research, the Diffie-Hellman method is used to exchange the key in the Third Party Auditor (TPA) to improve the performance of the auditing method. The key is generated in the third party auditor and this is shared with the user as an encrypted key. The Diffie-Hellman creates the shared encryption key between the two parties and can be communicate in the insecure channel. The Diffie-Hellman generates ephemeral keys and this is extremely fast in generating new key pairs. This method is suitable for the big server and have more efficiency over the state-ofart method, which doesn't involve in ephemeral key generation. The proposed method is evaluated in the simulated environment and compared with the other state-of the art methods. The verification cost of the proposed auditing method has achieved 1.1 s, while the existing method has 1.19s.

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Efficient auditing for shared data in the cloud with secure user revocation and computations outsourcing

Cited by 37 publications

References 9 publications

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

Towards an Efficient Privacy-Preserving Decision Tree Evaluation Service in the Internet of Things

Efficient and Secure Cloud Storage Auditing Based on the Diffie-Hellman Key Exchange

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