Towards temporal access control in cloud computing

Zhu, Yan; Hu, Hongxin; Ahn, Gail-Joon; Huang, Dijiang; Wang, Shanbiao

doi:10.1109/infcom.2012.6195656

Cited by 81 publications

(26 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Cloud computing endure a number of security issues, for instance, data access control [65], data distribution over a distributed infrastructure, data integrity, service availability, and secure communication. Also, the mobility adds some additional security issues [66], [67] that make mobile cloud security more challenging.…”

Section: G Securitymentioning

confidence: 99%

A Survey of Mobile Cloud Computing Application Models

Khan

Othman

Madani

et al. 2014

IEEE Commun. Surv. Tutorials

615

193

View full text Add to dashboard Cite

Abstract-Smartphones are now capable of supporting a wide range of applications, many of which demand an ever increasing computational power. This poses a challenge because smartphones are resource-constrained devices with limited computation power, memory, storage, and energy. Fortunately, the cloud computing technology offers virtually unlimited dynamic resources for computation, storage, and service provision. Therefore, researchers envision extending cloud computing services to mobile devices to overcome the smartphones constraints. The challenge in doing so is that the traditional smartphone application models do not support the development of applications that can incorporate cloud computing features and requires specialized mobile cloud application models. This article presents mobile cloud architecture, offloading decision affecting entities, application models classification, the latest mobile cloud application models, their critical analysis and future research directions.

show abstract

Section: G Securitymentioning

confidence: 99%

A Survey of Mobile Cloud Computing Application Models

Khan

Othman

Madani

et al. 2014

IEEE Commun. Surv. Tutorials

615

193

View full text Add to dashboard Cite

show abstract

“…Attribute-based access control provides a flexible approach that allows data owners to integrate data access policies within the encrypted data. So in this [4] Yan Zhu * , Hongxin Hu †, Gail-Joon Ahn †, Dijiang Huang †, and Shanbiao Wang discussed present an efficient temporal access control encryption scheme for cloud services with the help of cryptographic integer comparisons and a proxy-based reencryption mechanism on the current time. We also provide a dual comparative expression of integer ranges to extend the power of attribute expression for implementing various temporal constraints.…”

Section: Review Of Literaturementioning

confidence: 99%

A Methodology for Development and Verification of Access Control System in Cloud Computing

Valdaya¹,

Agarwal²,

Goyal³

2015

International Journal of Advanced Research in Computer and Comm

View full text Add to dashboard Cite

Abstract:In Cloud Computing, the feature of multi-tenancy gives privacy, security and access control challenges, because of sharing of physical resources among un-trusted tenants so, a suitable encryption technique with key management should be applied before outsourcing the data. In this paper we develop the methodology of policy based file access using attribute based encryption with cipher text scheme to secure the storage and sharing the cloud data with the cloud user. In this we also discuss the policy of revocation for file assured deletion so that no one can recover the deleted file from cloud and also discuss the policy for access to data storing centre so that the right user will access the right file in cloud.Keywords: access control in cloud computing, attribute based encryption, policy based access control, revocation of file assured deletion.

show abstract

“…The main idea of fine-grained encryption derived from multi-level encryption [12][13][14] and fine-grained access control technology [15][16][17] in the field of database. In our paper [9], we proposed the fine-grained encryption method due to the entire encryption brings too much operation of big data processing in IoT.…”

Section: Related Workmentioning

confidence: 99%

An Improved Fine-Grained Encryption Method for Unstructured Big Data

Zhou

Yang

2015

Communications in Computer and Information Science

View full text Add to dashboard Cite

Abstract. In the big data protecting technologies, most of the existing data protections adopt entire encryption that leads to the researches of lightweight encryption algorithms, without considering from the protected data itself. In our previous paper (FGEM), it finds that not all the parts of a data need protections, the entire data protection can be supplanted as long as the critical parts of the structured data are protected. Reducing unnecessary encryption makes great sense for raising efficiency in big data processing. In this paper, the improvement of FGEM makes it suitable to protect semi-structured and unstructured data efficiently. By storing semi-structured and unstructured datum in an improved tree structure, the improved FGEM for the datum is achieved by getting congener nodes. The experiments show the improved FGEM has short operating time and low memory consumption.

show abstract

Towards temporal access control in cloud computing

Cited by 81 publications

References 14 publications

A Survey of Mobile Cloud Computing Application Models

A Survey of Mobile Cloud Computing Application Models

A Methodology for Development and Verification of Access Control System in Cloud Computing

An Improved Fine-Grained Encryption Method for Unstructured Big Data

Contact Info

Product

Resources

About