Privacy Verification Using Ontologies

Kost, Martin; Freytag, Johann-Christoph; Kargl, Frank; Kung, Antonio

doi:10.1109/ares.2011.97

Cited by 24 publications

(17 citation statements)

References 13 publications

(11 reference statements)

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“…An ontology framework based on the PbD approach [23] consists of nine base ontologies, eight domain ontologies and four application specific ontologies. Another interesting approach is presented in [30].…”

Section: Related Workmentioning

confidence: 99%

Using Ontologies to Model Data Protection Requirements in Workflows

Bartolini

Muthuri

Santos

2017

New Frontiers in Artificial Intelligence

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Abstract. Data protection, currently under the limelight at the European level, is undergoing a long and complex reform that is finally approaching its completion. Consequently, there is an urgent need to customize semantic standards towards the prospective legal framework. The aim of this paper is to provide a bottom-up ontology describing the constituents of data protection domain and its relationships. Our contribution envisions a methodology to highlight the (new) duties of data controllers and foster the transition of IT-based systems, services/tools and businesses to comply with the new General Data Protection Regulation. This structure may serve as the foundation in the design of present and future information systems abiding to data protection legal requirements.

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Section: Related Workmentioning

confidence: 99%

Using Ontologies to Model Data Protection Requirements in Workflows

Bartolini

Muthuri

Santos

2017

New Frontiers in Artificial Intelligence

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“…In combination with application modularization, CANE and its features can reduce the risk of potential privacy leaks in distributed ITS applications. Therefore, CANE can be used to support, and be integrated with, a privacy-aware design process for ITS applications [20], [21].…”

Section: Discussionmentioning

confidence: 99%

CANE: A Controlled Application Environment for privacy protection in ITS

Dietzel

Kost

Schaub

et al. 2012

2012 12th International Conference on ITS Telecommunications

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Abstract-Many of the applications proposed for intelligent transportation systems (ITS) need to process and communicate detailed personal identifiable information. Examples are detailed location traces or unique identifiers for authentication towards paid services. Existing applications often run as monolithic black boxes inside users' cars. Hence, users cannot verify that applications behave as expected. We propose CANE, an application sandboxing approach that enhances user control over privacy properties while, at the same time, supporting common application requirements. CANE makes privacy-relevant application properties explicit and allows their analysis and enforcement during application runtime. We evaluate CANE using a common ITS use case and demonstrate feasibility with a proof-of-concept implementation.

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“…Figure 6 shows the number of citations of the most mentioned goals, classified by category of study. [83], [47], [35], [42], [70], [71], [67], [39], [75], [62], [66], [49], [68], [69], [72], [51], [52], [59], [73], [74], [41], [44], [56], [54], [55], [53]…”

Section: Rq2 What Privacy Goals Have Been Addressed In the Developmementioning

confidence: 99%

A Systematic Mapping Study on Privacy by Design in Software Engineering

Morales-Trujillo

García-Mireles

Matla-Cruz

et al. 2019

CLEIej

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Protecting personal data in current software systems is a complex issue that requires legal regulations and constraints to manage personal data as well as a methodological support to develop software systems that would safeguard data privacy of their respective users. Privacy by Design (PbD) approach has been proposed to address this issue and has been applied to systems development in a variety of application domains. The aim of this work is to determine the presence of PbD and its extent in software development efforts. A systematic mapping study was conducted in order to identify relevant literature that collects PbD principles and goals in software development as well as methods and/or practices that support privacy aware software development. 53 selected papers address PbD mostly from a theoretical perspective with proposals validation based primarily on experiences or examples. The findings suggest that there is a need to develop privacy-aware methods to be integrated at all stages of software development life cycle and validate them in industrial settings.

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Privacy Verification Using Ontologies

Cited by 24 publications

References 13 publications

Using Ontologies to Model Data Protection Requirements in Workflows

Using Ontologies to Model Data Protection Requirements in Workflows

CANE: A Controlled Application Environment for privacy protection in ITS

A Systematic Mapping Study on Privacy by Design in Software Engineering

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