Secure and efficient data‐sharing in clouds

Zhang, Jiang; Zhang, Zhenfeng

doi:10.1002/cpe.3395

Cited by 23 publications

(16 citation statements)

References 48 publications

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“…Thus, to provide fine‐grained access control with self‐reliant authorization to outsourced encrypted data, various types of encryption schemes are utilized. Examples of these cryptographically enforced user‐based access control schemes include those based on proxy reencryption and ABE …”

Section: Related Workmentioning

confidence: 99%

“…Thus, to provide fine-grained access control with self-reliant authorization to outsourced encrypted data, various types of encryption schemes are utilized. Examples of these cryptographically enforced user-based access control schemes [12][13][14][15] include those based on proxy reencryption 4,5,16,17 and ABE. 2,3,18,19 Regarding cryptographically enforced user-based access control schemes, Kamara and Lauter 12 developed a user-based access control for cloud storage using symmetric-based cryptography.…”

Section: Related Workmentioning

confidence: 99%

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ACDAS: Authenticated controlled data access and sharing scheme for cloud storage

Tiwari

Chaturvedi

Gangadharan

2019

Int J Communication

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Summary Cloud storage services require cost‐effective, scalable, and self‐managed secure data management functionality. Public cloud storage always enforces users to adopt the restricted generic security consideration provided by the cloud service provider. On the contrary, private cloud storage gives users the opportunity to configure a self‐managed and controlled authenticated data security model to control the accessing and sharing of data in a private cloud. However, this introduces several new challenges to data security. One critical issue is how to enable a secure, authenticated data storage model for data access with controlled data accessibility. In this paper, we propose an authenticated controlled data access and sharing scheme called ACDAS to address this issue. In our proposed scheme, we employ a biometric‐based authentication model for secure access to data storage and sharing. To provide flexible data sharing under the control of a data owner, we propose a variant of a proxy reencryption scheme where the cloud server uses a proxy reencryption key and the data owner generates a credential token during decryption to control the accessibility of the users. The security analysis shows that our proposed scheme is resistant to various attacks, including a stolen verifier attack, a replay attack, a password guessing attack, and a stolen mobile device attack. Further, our proposed scheme satisfies the considered security requirements of a data storage and sharing system. The experimental results demonstrate that ACDAS can achieve the security goals together with the practical efficiency of storage, computation, and communication compared with other related schemes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

ACDAS: Authenticated controlled data access and sharing scheme for cloud storage

Tiwari

Chaturvedi

Gangadharan

2019

Int J Communication

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“…In recent years, cloud computing has emerged as a promising paradigm that substantiates the vision of computing, storage, and networking resources (Beloglazov and Buyya, 2013;Zhang and Zhang, 2015). In cloud platforms, users' applications are deployed over the shared virtual resources which offer their capabilities as various services.…”

Section: Introductionmentioning

confidence: 99%

Virtual resource pricing scheme in cloud platforms

2018

IJNVO

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Recently, economic model has been widely applied in cloud platforms for regulating virtual resource sharing. In the economic model, resource pricing scheme plays a key role for managing the relationship between cloud users and cloud providers. In this paper, we present a novel pricing scheme for virtual resource provision with aiming at improving resource utilisation and reducing operational costs for cloud providers. Unlike previous studies, the proposed pricing scheme applies producer-retailer-client model to describe the procedure of virtual resource trade and provides the optimal pricing solution by using gaming theory. Extensive experiments are conducted in a real-world cloud platform, and the results demonstrate that the proposed pricing scheme outperforms other approaches in terms of the increased profit and the reduction of variance of virtual resource prices.

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“…In the 10th paper , the authors design a secure and practical proxy re‐encryption scheme, which is Chosen Ciphertext Attacks (CCA) secure under the computational Diffie–Hellman assumption in the random oracle model. They evaluate the efficiency of the proposed scheme both in theoretical comparisons with related schemes and in implementations at several security levels.…”

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confidence: 99%

Advances on cloud services and cloud computing

Barolli

Chen

Xhafa

2014

Concurrency and Computation

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EDITORIALAdvances on cloud services and cloud computing As cloud computing becomes prevalent, many organizations outsource the expensive computing and storage into the cloud servers. This brings many benefits including relief of the burden for storage management, universal data access with independent geographical locations, and avoidance of capital expenditure on hardware, software, and personnel maintenances. Despite the tremendous benefits, the outsource storage inevitably suffers from the security, privacy, trustworthiness, and the access of outsourced data. To address these issues, there has been increased interest to propose and design new algorithms and methodologies for cloud computing and cloud services.This special issue brings together high quality contributions in these research areas. The papers of the special issue have also identified and discussed the challenges in the field that will lead to new solutions and applications for cloud computing and cloud services.The special issue consists of 12 papers organized as follows. In the first paper [1], the authors propose the guidelines of a holistic security model in online collaborative learning through an effective trustworthiness. They consider a parallel processing approach, which can considerably decrease the time of data processing, thus allowing for building relevant trustworthiness models to support learning activities even in real time. The authors used a distributed infrastructure, such as Hadoop and cluster computing, to implement and evaluate the proposed approach for massive processing of log data. The experimental results showed the feasibility of coping with the problem of structuring and processing ill-formatted, heterogeneous, large log files to extract information on trustworthiness indicators and levels from learning groups and ultimately fill a global framework devoted to improve information security in e-learning in real time.In the second paper [2], the authors present a ciphertext-policy attribute-based proxy reencryption scheme for data sharing in public clouds. They proposed a new single-hop unidirectional Ciphertext-Policy Attribute-Based Proxy Re-Encryptio (CP-ABPRE) scheme, which supports attribute-based re-encryption with any monotonic access structure, to tackle the open problem left by the existing CP-ABPRE schemes. The authors showed that the proposed scheme can be proved secure in the random oracle model under the decisional q-parallel bilinear Diffie-Hellman exponentiation assumption.In the third paper [3], the authors propose Ontology as a Service (OaaS), where the ontology tailoring process serves as a service in the cloud. To illustrate OaaS, in this paper, they propose sub-ontology extraction and extension, whereby multiple sub-ontologies are extracted from various source ontologies and then these extracted sub-ontologies are extended to form a complete ontology to be used by the user. The authors use a maximum extraction method to facilitate this. Unified Medical Language System (UMLS) metathesaurus ontology is us...

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Secure and efficient data‐sharing in clouds

Cited by 23 publications

References 48 publications

ACDAS: Authenticated controlled data access and sharing scheme for cloud storage

ACDAS: Authenticated controlled data access and sharing scheme for cloud storage

Virtual resource pricing scheme in cloud platforms

Advances on cloud services and cloud computing

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