The IBM Enterprise Privacy Architecture (EPA) is a methodology for enterprises to provide an enhanced and well-defined level of privacy to their customers. EPA is structured in four building blocks. The privacy regulation analysis identifies and structures the applicable regulations. The management reference model enables an enterprise to define and enforce an enterprise privacy strategy and th...

It is well understood that processing personal data without effective data management models may lead to privacy violations. Such concerns have motivated the development of privacy-preserving systems and legal frameworks such as the EU General Data Protection Regulation. However, there is a disconnect between policy-makers and engineers with respect to the meaning of privacy. In addition, it is...

How well the privacy policy follows a regulation is one of the current concerns of the user. Such a task can be accomplished by directly querying the policy statement with the regulation text. Automation of the process requires an expressive meaning-based framework for Natural Language Processing (NLP). This paper discusses the Ontological Semantics approach to the issue of verifying compliance...

Pseudonymisation is gaining traction among modern electronic identification systems as a privacy enhancing technique that can significantly reduce risks of personal data misuse. The recently agreed General Data Protection Regulation (the GDPR) encourages the use of pseudonymisation to comply with its requirement of privacy-by-design. Art. 5 of the European Regulation on electronic identificatio...

This chapter aims to provide a critical contribution to the ongoing discourse on selfregulation with regard to privacy and data protection (cf. e.g. European Commission 2010). This discourse encompasses the amendment of the EU Data Protection Directive and the related discussion about a principle of accountability (cf. Article 29 Working Party 2010). Underlying these conceptualisations is the a...

Today’s digital Business Models challenge the concept of privacy of the previous century. As a legislative approach to keep up with the rapid technological change, the European Union has passed the General Data Protection Regulation (GDPR), which will be effective in May 2018. For companies, this implies extensive changes in established processes and new organizational duties. With this work, w...

Urban sensing systems that use mobile phones enable individuals and communities to collect and share data with unprecedented speed, accuracy and granularity. But employing mobile handsets as sensor nodes poses new challenges for privacy, data security, and ethics. To address these challenges, CENS is developing design principles based upon understanding privacy regulation as a participatory pro...

The aim of this article is to identify Urgency the Law Privacy Data Protection in Developing E-Government Policy Indonesia. This Research focused on important effect policy e-Government development. problem analized with theory corcening e-Government, trust dimension and Protection. data collected based desk study will be analyzed by Qualitative methods. Article conclude that there an urgency l...

Privacy regulation by the European Union has had effects for websites beyond and lead to an increase in market concentration of web technology vendors

The advantages of electronic communications in the e-commerce sector and rapid exchange information continue to have enormous benefits, but they come at a cost terms privacy protection legal gaps. Privacy is defined differently each jurisdiction – EU US, despite widespread agreement on importance privacy, there no single definition concept scientific circles. difficulties transferring personal ...