Tenant-based access control model for multi-tenancy and sub-tenancy architecture in Software-as-a-Service

Zuo, Qiong; Xie, Meiyi; Qi, Guanqiu; Zhu, Hong

doi:10.1007/s11704-016-5081-x

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…But this requires secure management of such complexity. An access-control model based on Administrative RBAC is proposed in [51] in order to address this. In [26], key distribution is combined with the authorization of users and a procedure for data sharing to allow for secure data sharing without the need of a trusted third party.…”

Section: Sharing and Collaborationmentioning

confidence: 99%

Owner-Centric Sharing of Physical Resources, Data, and Data-Driven Insights in Digital Ecosystems

Cheung¹,

Huth

Kirk³

et al. 2019

Proceedings of the 24th ACM Symposium on Access Control Models and Technologies

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We are living in an age in which digitization will connect more and more physical assets with IT systems and where IoT endpoints will generate a wealth of valuable data. Companies, individual users, and organizations alike therefore have the need to control their own physical or non-physical assets and data sources. At the same time, they recognize the need for, and opportunity to, share access to such data and digitized physical assets. This paper sets out our technology vision for such sharing ecosystems, reports initial work in that direction, identifies challenges for realizing this vision, and seeks feedback and collaboration from the academic access-control community in that R&D space.

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Section: Sharing and Collaborationmentioning

confidence: 99%

Owner-Centric Sharing of Physical Resources, Data, and Data-Driven Insights in Digital Ecosystems

Cheung¹,

Huth

Kirk³

et al. 2019

Proceedings of the 24th ACM Symposium on Access Control Models and Technologies

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show abstract

“…To evaluate the integrated images objectively, four popular objective evaluations are implemented, which include entropy [38, 39], mutual information (MI) [40, 41], edge retention

Q^{A B / F}

[42, 43], and visual information fidelity (VIF) [44, 45]. These performance metrics are defined as follows.…”

Section: Comparative Experiments and Analysesmentioning

confidence: 99%

Multi‐focus image fusion via morphological similarity‐based dictionary construction and sparse representation

Zhang

Zeng

et al. 2018

CAAI Transactions on Intelligence Technology

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Sparse representation has been widely applied to multi-focus image fusion in recent years. As a key step, the construction of an informative dictionary directly decides the performance of sparsity-based image fusion. To obtain sufficient bases for dictionary learning, different geometric information of source images is extracted and analysed. The classified image bases are used to build corresponding subdictionaries by principle component analysis. All built subdictionaries are merged into one informative dictionary. Based on constructed dictionary, compressive sampling matched pursuit algorithm is used to extract corresponding sparse coefficients for the representation of source images. The obtained sparse coefficients are fused by Max-L1 fusion rule first, and then inverted to form the final fused image. Multiple comparative experiments demonstrate that the proposed method is competitive with other the state-of-the-art fusion methods.

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“…Compared with the distributed control scheme, the advantage of the centralized control scheme in STC is that it reduces the conservativeness of control system, and further decreases the communication cost [40,41]. In order to present the self-triggered control scheme, the power system is formulated as a linear dynamic system in a form of:ẋ…”

Section: The Self-triggered Controllermentioning

confidence: 99%

Frequency Regulation of Power Systems with Self-Triggered Control under the Consideration of Communication Costs

Zhu

Sun

et al. 2017

Applied Sciences

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Abstract:In control systems of power grids, conveying observations to controllers and obtaining control outputs depend greatly on communication and computation resources. Particularly for large-scale systems, the costs of computation and communication (cyber costs) should not be neglected. This paper proposes a self-triggered frequency control system for a power grid to reduce communication costs. An equation for obtaining the triggering time is derived, and an approximation method is proposed to reduce the computation cost of triggering time. In addition, the communication cost of frequency triggering is measured quantitatively and proportionally. The defined cost function considers both physical cost (electricity transmission cost) and communication cost (control signal transmission cost). The upper bound of cost is estimated. According to the estimated upper bound of cost, parameters of the controller are investigated by using the proposed optimization algorithm to guarantee the high performance of the system. Finally, the proposed self-triggered power system is simulated to verify its efficiency and effectiveness.

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Tenant-based access control model for multi-tenancy and sub-tenancy architecture in Software-as-a-Service

Cited by 10 publications

References 11 publications

Owner-Centric Sharing of Physical Resources, Data, and Data-Driven Insights in Digital Ecosystems

Owner-Centric Sharing of Physical Resources, Data, and Data-Driven Insights in Digital Ecosystems

Multi‐focus image fusion via morphological similarity‐based dictionary construction and sparse representation

Frequency Regulation of Power Systems with Self-Triggered Control under the Consideration of Communication Costs

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