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Showing 1 to 8 of 8 for “"privacy loss"”.

  1. Smartphone Spying: Uncovering Hidden Dangers

    … contact data and ultimately impacting personal privacy. Attention-grabbing stimuli, surveillance ability, software applications (apps) and user practices associated with the smartphone have been presented as evidence of growing concern as causes for privacy erosion. Based on my review and …

    ohiolink Repository record for Smartphone Spying: Uncovering Hidden Dangers (opens in a new tab)

  2. User Perceptions of Privacy and Comfort in Domestic Service Robots

    … study investigating how users’ perception of privacy loss influences their comfort levels, when interacting with camera-equipped domestic robots. We utilize a privacy-enhancing feature: a translucent camera cover that blurs the robot’s vision while preserving a limited degree of functionality …

    cornell Repository record for User Perceptions of Privacy and Comfort in Domestic Service Robots (opens in a new tab)

  3. Study of big data analytics landscape : considerations for market entry of an E-commerce analytics vendor

    … as system efficiency increases, concerns about privacy loss and malpractices also increase. The world of big data is more complex and controversial than ever before. This study focuses on creating a baseline of big data technologies and attempts to identify near term trends within the horizon of …

    mit Repository record for Study of big data analytics landscape : considerations for market entry of an E-commerce analytics vendor (opens in a new tab)

  4. PRADA-TF: Privacy-Diversity-Aware Online Team Formation

    In this work, we propose a PRivAcy-Diversity-Aware Team Formation framework, namely PRADA-TF, that can be deployed based on the trust relationships between users in online social networks (OSNs). Our proposed PRADA-TF is mainly designed to reflect team members' domain expertise and privacy

    vt Repository record for PRADA-TF: Privacy-Diversity-Aware Online Team Formation (opens in a new tab)

  5. Analysis of Privacy-aware Data Sharing in Cyber-physical Energy Systems

    … the key factors and correlations among the privacy, security, and utility requirements of grid networks to ensure effective inter-and intra-actions within physical layer equipment (e.g., distributed energy resources (DERs), intelligent electronic devices (IEDs), etc.). We have conducted a …

    unr Repository record for Analysis of Privacy-aware Data Sharing in Cyber-physical Energy Systems (opens in a new tab)

  6. On supporting K-anonymisation and L-diversity of crime databases with genetic algorithms in a resource constrained environment

    … need to be weighed against issues relating to privacy loss. To facilitate such analysis of crime data Burke and Kayem [7] proposed a framework (MCRF) to enable mobile crime reporting in a developing country. Here crimes are reported via mobile phones and stored in a database owned by a law …

    cape-town Repository record for On supporting K-anonymisation and L-diversity of crime databases with genetic algorithms in a resource constrained environment (opens in a new tab)

  7. Algorithmic Interactions With Strategic Users: Incentives, Interplay, and Impact

    … recognizing the value of their data, demand privacy guarantees or compensations in exchange for sharing their information. The thesis delves into various aspects of this problem, including the estimation task itself, the allocation of privacy guarantees, and the potential vulnerabilities of …

    mit Repository record for Algorithmic Interactions With Strategic Users: Incentives, Interplay, and Impact (opens in a new tab)

  8. Balancing utility and privacy of high-dimensional datasets : mobile phone metadata

    … to natural disasters. However, understanding the privacy of these data sets is key to their broad use and potential impact, for these consist of sensitive information such as citizens' geo-location. Moreover, recent research has shown adversarial methods that successfully associate sensitive …

    mit Repository record for Balancing utility and privacy of high-dimensional datasets : mobile phone metadata (opens in a new tab)