The future of social is personal: the potential of the personal data store

This chapter argues that technical architectures that facilitate the longitudinal, decentralised and individual-centric personal collection and curation of data will be an important, but partial, response to the pressing problem of the autonomy of the data subject, and the asymmetry of power between the subject and large scale service providers/data consumers. Towards framing the scope and role of such Personal Data Stores (PDSes), the legalistic notion of personal data is examined, and it is argued that a more inclusive, intuitive notion expresses more accurately what individuals require in order to preserve their autonomy in a data-driven world of large aggregators. Six challenges towards realising the PDS vision are set out: the requirement to store data for long periods; the difficulties of managing data for individuals; the need to reconsider the regulatory basis for third-party access to data; the need to comply with international data handling standards; the need to integrate privacy-enhancing technologies; and the need to future-proof data gathering against the evolution of social norms. The open experimental PDS platform INDX is introduced and described, as a means of beginning to address at least some of these six challenges

Black artists in the United States

International audienceIn all user-centred agent-based applications, for instance in the context of ambient computing, the user agent is often faced to a difficult trade-off between the protection of its own privacy, and the fluidity offered by the services. In existing applications, the choice is almost never on the user's side, even though the law grants him a number of rights in order to guarantee his privacy. We examine here different technical works that seem to be as many interesting ways of dealing with privacy policies. The problems already solved will be identified, as well as remaining technical challenges. Then we will propose directions of research based on the most interesting aspects of the underlined approaches

A Taxonomy of Privacy and Security Risks Contributing Factors

Part 2: Privacy MetricsInternational audienceIdentity management system(s) (IDMS) do rely on tokens in order to function. Tokens can contribute to privacy or security risk in IDMS. Specifically, the characteristics of tokens contribute greatly to security and privacy risks in IDMS. Our understanding of how the characteristics of token contribute to privacy and security risks will help us manage the privacy and security risks in IDMS. In this article, we introduce a taxonomy of privacy and security risks contributing factors to improve our understanding of how tokens affect privacy and security in IDMS. The taxonomy is based on a survey of IDMS articles. We observed that our taxonomy can form the basis for a risk assessment model