A Flexible Access Control Model for Distributed Collaborative Editors

Imine, Abdessamad; Cherif, Asma; Rusinowitch, Michaël

doi:10.1007/978-3-642-04219-5_6

Cited by 11 publications

(3 citation statements)

References 18 publications

(32 reference statements)

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“…Another alternative is to utilise the idea of user-roles and access rights (12). In this way, the session owner is considered to have administrator privileges and is able to grant permissions to other participants, allowing or disallowing them to perform specific operations.…”

Section: Design Of a Real-time Collaborative Genome Browsermentioning

confidence: 99%

PBrowse: A web-based platform for real-time collaborative exploration of genomic data

Szot

Yang

Wang

et al. 2016

Preprint

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Genome browsers are widely used for individually exploring various types of genomic data. A handful of genome browsers offer limited tools for collaboration among multiple users. Here, we describe PBrowse, an integrated real-time collaborative genome browser that enables multiple users to simultaneously view and access genomic data, thereby harnessing the wisdom of the crowd. PBrowse is based on the Dalliance genome browser and has a re-designed user and data management system with novel collaborative functionalities, including realtime collaborative view, track comment and an integrated group chat feature. Through the Distributed Annotation Server protocol, PBrowse can easily access a wide range of publicly available genomic data, such as the ENCODE data sets. We argue that PBrowse represents a paradigm shift from using a genome browser as a static data visualization tool to a platform that enables real-time humanhuman interaction and knowledge exchange in a collaborative setting. PBrowse is available at http: //pbrowse.victorchang.edu.au, and its source code is available via an open source BSD 3 license at http://github.com/VCCRI/PBrowse.

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Section: Design Of a Real-time Collaborative Genome Browsermentioning

confidence: 99%

PBrowse: A web-based platform for real-time collaborative exploration of genomic data

Szot

Yang

Wang

et al. 2016

Preprint

View full text Add to dashboard Cite

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“…The model proposed by Imine et al (2009) deals with the latencies and resolves the policy conflict changes dynamically but allows any change to existing data-sets only at the administrator level. The users play a vital role in providing health services to the patient.…”

Section: Related Workmentioning

confidence: 99%

Hierarchy Similarity Analyser-An Approach to Securely Share Electronic Health Records

Bhartiya

Mehrotra

Girdhar³

2016

International Journal of E-Health and Medical Communications

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Health professionals need an access to various dimensions of Electronic Health Records (EHR). Depending on technical constraints, each organization defines its own access control schema exhibiting heterogeneity in organizational rules and policies. Achieving interoperability between such schemas often result in contradictory rules thereby exposing data to undue disclosures. Permitting interoperable sharing of EHRs and simultaneously restricting unauthorized access is the major objective of this paper. An Extensible Access Control Markup Language (XACML)-based framework, Hierarchy Similarity Analyser (HSA), is proposed which fine-grains access control policies of disparate healthcare organizations to achieve interoperable and secured sharing of EHR under set authorizations. The proposed framework is implemented and verified using automated Access Control Policy Testing (ACPT) tool developed by NIST. Experimental results identify the users receive secured and restricted access as per their authorizations and role hierarchy in the organization.

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“…An alternative is to utilize the idea of user-roles and access rights ( 13 ). In this way, the session owner is considered to have administrator privileges and can grant permissions to other participants, allowing or disallowing them to perform specific operations.…”

Section: Introductionmentioning

confidence: 99%

PBrowse: a web-based platform for real-time collaborative exploration of genomic data

et al. 2017

View full text Add to dashboard Cite

Genome browsers are widely used for individually exploring various types of genomic data. A handful of genome browsers offer limited tools for collaboration among multiple users. Here, we describe PBrowse, an integrated real-time collaborative genome browser that enables multiple users to simultaneously view and access genomic data, thereby harnessing the wisdom of the crowd. PBrowse is based on the Dalliance genome browser and has a re-designed user and data management system with novel collaborative functionalities, including real-time collaborative view, track comment and an integrated group chat feature. Through the Distributed Annotation Server protocol, PBrowse can easily access a wide range of publicly available genomic data, such as the ENCODE data sets. We argue that PBrowse represents a paradigm shift from using a genome browser as a static data visualization tool to a platform that enables real-time human–human interaction and knowledge exchange in a collaborative setting. PBrowse is available at http://pbrowse.victorchang.edu.au, and its source code is available via an open source BSD 3 license at http://github.com/VCCRI/PBrowse.

show abstract

A Flexible Access Control Model for Distributed Collaborative Editors

Cited by 11 publications

References 18 publications

PBrowse: A web-based platform for real-time collaborative exploration of genomic data

PBrowse: A web-based platform for real-time collaborative exploration of genomic data

Hierarchy Similarity Analyser-An Approach to Securely Share Electronic Health Records

PBrowse: a web-based platform for real-time collaborative exploration of genomic data

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