DObjects+: Enabling Privacy-Preserving Data Federation Services

Jurczyk, Pawel; Xiong, Li; Goryczka, Slawomir

doi:10.1109/icde.2012.138

Cited by 6 publications

(3 citation statements)

References 20 publications

(33 reference statements)

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“…This is in line with the MW architecture displayed in [28]. Papakonstantinou et al [6] and Jurczyk et al [30] displayed an architecture in which each mediator of the first mediator layer is connected to just one wrapper and vice versa, showing that this is also a feasible solution in cases where mediators are only needed for translation. The first mediator layer can be used to mediate between wrappers over paradigmatically similar data sources or data sources that have an overlapping or connected domain.…”

Section: Querysupporting

confidence: 70%

Mask–Mediator–Wrapper: A Revised Mediator–Wrapper Architecture for Heterogeneous Data Source Integration

et al. 2023

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This paper deals with the mediator–wrapper architecture and observes it in more modern aspects by relating it to architectural quanta. It is an important architectural pattern that enables a more flexible and modular architecture in opposition to monolithic architectures for data source integration systems. This paper identifies certain realistic and concrete scenarios where the mediator–wrapper architecture underperforms. These issues are addressed with the extension of the architecture via the mask component type. The mask component is detailed so it can be reasoned about without prescribing a concrete programming language or paradigm but still providing a working principle. The benefits of the new mask–mediator–wrapper architecture are analytically proven in relevant scenarios. The proof includes a software shift–cost analysis whose results quantitatively show the improvement of the mask–mediator–wrapper architecture over other mediator–wrapper architecture settings. One of the applications of the new architecture is envisioned for modern data sources integration systems backing big data processing.

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Section: Querysupporting

confidence: 70%

Mask–Mediator–Wrapper: A Revised Mediator–Wrapper Architecture for Heterogeneous Data Source Integration

et al. 2023

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“…Alert sharing mechanisms can still be improved. Depending on the security policy, on the criticality level of the alerts and on the security level of the AD, a customizable anonymity of alerts based on [34,35] could be used in order to be able to share even the most critical alerts and therefore improving the correlation.…”

Section: Discussionmentioning

confidence: 99%

Protecting grids from cross-domain attacks using security alert sharing mechanisms

Hassan

Syrame

Bourgeois

2013

Future Generation Computer Systems

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In single administrative domain networks there is only one security policy which can be evaluated by the IT security manager thanks, to monitoring and reporting tools. Grid networks are often composed of different administrative domains owned by different organizations dispersed globally. Such networks are referred to as multi-administrative domain networks. Each domain might have its own security policy and may not want to share its security data with less-protected networks, making it more complex to ensure the security of such networks and protecting them from cross-domain attacks. We propose a Security Event Manager (SEM) called Grid Security Operation Center (GSOC), which facilitate IT security managers in giving a view of the security of the whole grid network without compromising confidentiality of security data. To do so, GSOC provides a security evaluation of each administrative domain (AD) and a parametric security alerts-sharing scheme. Alert sharing can then be tuned in order to meet local security policy rules.

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“…Out of a total of 61 privacy papers, one paper [28] uses k-anonymity, and another paper [29] uses l-diversity and tcloseness but also differential privacy to anonymize data. Furthermore, Cao and Karras [30] introduce a successor to tcloseness, called β-likeness which they claim is more informative and comprehensible.…”

Section: B Data Integritymentioning

confidence: 99%

Security and privacy for big data: A systematic literature review

Nelson

Olovsson

2016

2016 IEEE International Conference on Big Data (Big Data)

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Big data is currently a hot research topic, with four million hits on Google scholar in October 2016. One reason for the popularity of big data research is the knowledge that can be extracted from analyzing these large data sets. However, data can contain sensitive information, and data must therefore be sufficiently protected as it is stored and processed. Furthermore, it might also be required to provide meaningful, proven, privacy guarantees if the data can be linked to individuals. To the best of our knowledge, there exists no systematic overview of the overlap between big data and the area of security and privacy. Consequently, this review aims to explore security and privacy research within big data, by outlining and providing structure to what research currently exists. Moreover, we investigate which papers connect security and privacy with big data, and which categories these papers cover. Ultimately, is security and privacy research for big data different from the rest of the research within the security and privacy domain? To answer these questions, we perform a systematic literature review (SLR), where we collect recent papers from top conferences, and categorize them in order to provide an overview of the security and privacy topics present within the context of big data. Within each category we also present a qualitative analysis of papers representative for that specific area. Furthermore, we explore and visualize the relationship between the categories. Thus, the objective of this review is to provide a snapshot of the current state of security and privacy research for big data, and to discover where further research is required.

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DObjects+: Enabling Privacy-Preserving Data Federation Services

Cited by 6 publications

References 20 publications

Mask–Mediator–Wrapper: A Revised Mediator–Wrapper Architecture for Heterogeneous Data Source Integration

Mask–Mediator–Wrapper: A Revised Mediator–Wrapper Architecture for Heterogeneous Data Source Integration

Protecting grids from cross-domain attacks using security alert sharing mechanisms

Security and privacy for big data: A systematic literature review

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