CARDS - Collaborative Audit and Report Data Sharing for A-Posteriori Access Control in DOSNs

Bahri, Leila; Carminati, Barbara; Ferrari, Elena

doi:10.1109/cic.2015.18

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Moreover, non contextual security rules were modeled, and techniques to extract necessary data from logs for policy violation detection were proposed. Other applications of the a posteriori access control can be also related to business processes [4], and detecting violation of privacy protection rules in social networks [9].…”

Section: State Of the Artmentioning

confidence: 99%

Semantic Mediation for A Posteriori Log Analysis

Dernaika

Cuppens-Boulahia

Cuppens

et al. 2019

Proceedings of the 14th International Conference on Availability, Reliability and Security

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The a posteriori access control mode consists in monitoring actions performed by users, to detect possible violations of the security policy and to apply sanctions or reparations. In general, logs are among the first data sources that information security specialists consult for forensics when they suspect that something went wrong. One difficult challenge we face when analyzing logs, is the multiple log file formats. However, normalizing logs in one format needs a lot of processing especially because log files usually contain a high volume of data. Our study proposes then to tackle this problem, by leaving the different log formats as they are, and retrieving information from logs by querying them. A semantic mediator makes it possible to inter-operate various sources of information without modifying their internal functioning. It can be responsible for locating data sources, to transmit queries to each source, or from one source to another, to retrieve the queries responses and possibly send them back to other sources. To the best of our knowledge, semantic mediation techniques have been used to share information from heterogeneous data sources, but they were never used in the context of log analysis. CCS CONCEPTS • Behavioral Analysis for Access and Usage Control → A posteriori log analysis.

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Section: State Of the Artmentioning

confidence: 99%

Semantic Mediation for A Posteriori Log Analysis

Dernaika

Cuppens-Boulahia

Cuppens

et al. 2019

Proceedings of the 14th International Conference on Availability, Reliability and Security

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“…These models enable the collaborative specification of policies aiming at the protection of resources co-owned by multiple users [Bahri et al 2015;Carminati and Ferrari 2011;Ilia et al 2017;Mehregan and Fong 2016;Rajtmajer et al 2016;Squicciarini et al 2010;Wishart et al 2010;Xiao and Tan 2012;Vishwamitra et al 2017]. Data governance models based on multi-ownership implicitly assume that all entities related to a data object have the same level of authority over the object.…”

Section: Governancementioning

confidence: 99%

Survey on Access Control for Community-Centered Collaborative Systems

2018

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The last decades have seen a growing interest and demand for community-centered collaborative systems and platforms. These systems and platforms aim to provide an environment in which users can collaboratively create, share and manage resources. While offering attractive opportunities for online collaboration and information sharing, they also open several security and privacy issues. This has attracted several research efforts towards the design and implementation of novel access control solutions that can handle the complexity introduced by collaboration. Despite these efforts, transition to practice has been hindered by the lack of maturity of the proposed solutions. The access control mechanisms typically adopted by commercial collaborative systems like online social network websites and collaborative editing platforms, are still rather rudimentary and do not provide users with a sufficient control over their resources. This survey examines the growing literature on access control for collaborative systems centered on communities, and identifies the main challenges to be addressed in order to facilitate the adoption of collaborative access control solutions in real-life settings. Based on the literature study, we delineate a roadmap for future research in the area of access control for community-centered collaborative systems.

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Big Data Security and Privacy

Bertino

Ferrari

2017

Studies in Big Data

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CARDS - Collaborative Audit and Report Data Sharing for A-Posteriori Access Control in DOSNs

Cited by 5 publications

References 17 publications

Semantic Mediation for A Posteriori Log Analysis

Semantic Mediation for A Posteriori Log Analysis

Survey on Access Control for Community-Centered Collaborative Systems

Big Data Security and Privacy

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