115,494 research outputs found

    Encouraging Privacy-Aware Smartphone App Installation: Finding out what the Technically-Adept Do

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    Smartphone apps can harvest very personal details from the phone with ease. This is a particular privacy concern. Unthinking installation of untrustworthy apps constitutes risky behaviour. This could be due to poor awareness or a lack of knowhow: knowledge of how to go about protecting privacy. It seems that Smartphone owners proceed with installation, ignoring any misgivings they might have, and thereby irretrievably sacrifice their privacy

    User-centric Privacy Engineering for the Internet of Things

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    User privacy concerns are widely regarded as a key obstacle to the success of modern smart cyber-physical systems. In this paper, we analyse, through an example, some of the requirements that future data collection architectures of these systems should implement to provide effective privacy protection for users. Then, we give an example of how these requirements can be implemented in a smart home scenario. Our example architecture allows the user to balance the privacy risks with the potential benefits and take a practical decision determining the extent of the sharing. Based on this example architecture, we identify a number of challenges that must be addressed by future data processing systems in order to achieve effective privacy management for smart cyber-physical systems.Comment: 12 Page

    Addressing the cyber safety challenge: from risk to resilience

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    Addressing the cyber safety challenge: from risk to resilience describes the cyber safety issues emerging from a range of technology trends, how different populations are using technologies and the risks they face, and how we can effectively respond to each group’s unique cyber safety needs. Written by the University of Western Sydney for Telstra Corporation Ltd, the report advocates for continuing to move cyber safety from a ‘risk and protection’ framework to one that focuses on building digital resilience, as well as fostering trust and confidence in the online environment. To do this we need to: Address the needs of populations often neglected by current policies and programs – including adults, seniors, parents, and small to medium enterprises Continue to build the digital literacy skills of all populations, because digital literacy strongly influences users’ ability to engage safely online – this is best achieved by a hands-on learning approach Keep risk in perspective – the risks and benefits of digital participation go hand in hand Broaden the focus from awareness-raising to long-term behaviour change. As digital technologies become further integrated into the everyday lives of Australians, users are potentially exposed to greater risks. However, the risks and benefits of digital participation go hand in hand. The challenge, therefore, is to support users to minimise the risks without limiting their digital participation and their capacity to derive the full benefits of connectivity. If Australians are to benefit as either consumers or providers of online services and products in the e-commerce environment, consumer safety and trust need to be improved. Cyber safety needs to be considered against a transforming backdrop of technology trends, products and practices. While the rise of social media has tended to dominate recent debate and developments in cyber safety, particularly in relation to young people, a range of other trends is also shaping how users engage online, the risks they potentially face in the new media landscape, and the strategies used to address them. These trends include the rise of user generated content and content sharing platforms; the uptake of mobile technologies and, in particular, the adoption of smartphones; cloud computing; platform integration and single sign-on mechanisms; and the rise of GPS and location based services

    Online privacy: towards informational self-determination on the internet : report from Dagstuhl Perspectives Workshop 11061

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    The Dagstuhl Perspectives Workshop "Online Privacy: Towards Informational Self-Determination on the Internet" (11061) has been held in February 6-11, 2011 at Schloss Dagstuhl. 30 participants from academia, public sector, and industry have identified the current status-of-the-art of and challenges for online privacy as well as derived recommendations for improving online privacy. Whereas the Dagstuhl Manifesto of this workshop concludes the results of the working groups and panel discussions, this article presents the talks of this workshop by their abstracts

    Constructing elastic distinguishability metrics for location privacy

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    With the increasing popularity of hand-held devices, location-based applications and services have access to accurate and real-time location information, raising serious privacy concerns for their users. The recently introduced notion of geo-indistinguishability tries to address this problem by adapting the well-known concept of differential privacy to the area of location-based systems. Although geo-indistinguishability presents various appealing aspects, it has the problem of treating space in a uniform way, imposing the addition of the same amount of noise everywhere on the map. In this paper we propose a novel elastic distinguishability metric that warps the geometrical distance, capturing the different degrees of density of each area. As a consequence, the obtained mechanism adapts the level of noise while achieving the same degree of privacy everywhere. We also show how such an elastic metric can easily incorporate the concept of a "geographic fence" that is commonly employed to protect the highly recurrent locations of a user, such as his home or work. We perform an extensive evaluation of our technique by building an elastic metric for Paris' wide metropolitan area, using semantic information from the OpenStreetMap database. We compare the resulting mechanism against the Planar Laplace mechanism satisfying standard geo-indistinguishability, using two real-world datasets from the Gowalla and Brightkite location-based social networks. The results show that the elastic mechanism adapts well to the semantics of each area, adjusting the noise as we move outside the city center, hence offering better overall privacy
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