Compliance-Preserving Cloud Storage Federation Based on Data-Driven Usage Control

Wüchner, Tobias; Müller, Steffen; Fischer, Robin

doi:10.1109/cloudcom.2013.149

Cited by 9 publications

(19 citation statements)

References 13 publications

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“…The framework is also mentioned as a solution for business ecosystems in [113]. The framework proposed by Wüchner et al [108] is designed to preserve regulatory compliance in federated cloud storage. The context-aware usage control (ConUCON) framework [5] is designed for mobile computing and uses contextual information in order to enhance data protection.…”

Section: Domain Of Usagementioning

confidence: 99%

Usage Control Specification, Enforcement, and Robustness: A Survey

Akaichi¹,

Kirrane²

2022

Preprint

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The management of data and digital assets poses various challenges, including the need to adhere to legal requirements with respect to personal data protection and copyright. Usage control technologies could be used by software platform providers to manage data and digital assets responsibly and to provide more control to data and digital asset owners. In order to better understand the potential of various usage control proposals, we collate and categorize usage control requirements, compare the predominant usage control frameworks based on said requirements, and identify existing challenges and opportunities that could be used to guide future research directions.CCS Concepts: • Security and privacy → Information accountability and usage control; • Social and professional topics → Computing / technology policy; Intellectual property; Privacy policies.

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Section: Domain Of Usagementioning

confidence: 99%

Usage Control Specification, Enforcement, and Robustness: A Survey

Akaichi¹,

Kirrane²

2022

Preprint

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“…• Cloud framework-based DLV approaches [5], [15], [19] aim at installing a software framework on CSP. Such a framework is in charge of guaranteeing data location by forbidding data moves to unauthorized locations.…”

Section: Assessment Of Regression-based Techniques For Data Locationmentioning

confidence: 99%

Assessment of Regression-based Techniques for Data Location Verification at Country-Level (Invited Paper)

Mammeri

Jorda

2018

2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM)

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“…• Cloud Framework-based approaches [15][16][17] aim at providing a software framework to CSP. The latter must use this framework, meaning that virtualization management is done by the provided framework.…”

Section: Data Location Verification Categoriesmentioning

confidence: 99%

Landmark-based data location verification in the cloud: review of approaches and challenges

Jorda

Mammeri

2017

J Cloud Comp

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Data storage on the cloud is growing every day and many companies, administrations, and individuals are now outsourcing storage of their data to large-scale Cloud Service Providers (CSP). However, because of today's cloud infrastructure virtualization, data owners cannot easily know the location where their data are stored. Even in case of the establishment of a strong Service-Level Agreement, which includes an initial guarantee regarding data location, the CSP may then move data to another location, like another country, in order to cut storage costs or for any other reasons, including backup mistakes and fraudulent use of data. Data location verification is required due to legal, privacy, and performance constraints. Recently "Where are my data located in the cloud?" has become a challenge and solutions have been proposed to verify data location, under given assumptions regarding CSP behavior. The objective of this paper is twofold: propose a comprehensive classification of the location verification approaches and discuss their vulnerabilities regarding malicious CSP attacks. Location verification solutions may be Framework-based, Hardware-based or Landmark-based. This paper addresses only landmark-based approaches for their deployment flexibility and low cost.

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Compliance-Preserving Cloud Storage Federation Based on Data-Driven Usage Control

Cited by 9 publications

References 13 publications

Usage Control Specification, Enforcement, and Robustness: A Survey

Usage Control Specification, Enforcement, and Robustness: A Survey

Assessment of Regression-based Techniques for Data Location Verification at Country-Level (Invited Paper)

Landmark-based data location verification in the cloud: review of approaches and challenges

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