Search for dissertations about: "Privacy preferences"

Showing result 1 - 5 of 13 swedish dissertations containing the words Privacy preferences.

  1. 1. Usable privacy for digital transactions : Exploring the usability aspects of three privacy enhancing mechanisms

    Author : Julio Angulo; John Sören Pettersson; Simone Fischer-Hübner; Erik Wästlund; Karlstads universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Privacy-Enhancing Technologies; usability; usable privacy; mental models; mobile devices; security; digital transactions; e-commerce; User Interfaces; Information Systems; Informatik;

    Abstract : The amount of personal identifiable information that people distribute over different online services has grown rapidly and considerably over the last decades. This has led to increased probabilities for identity theft, profiling and linkability attacks, which can in turn not only result in a threat to people’s personal dignity, finances, and many other aspects of their lives, but also to societies in general. READ MORE

  2. 2. Towards Usable Privacy and Identity Management for Smart Environments

    Author : Lejla Islami; Simone Fischer-Hübner; Mikael Asplund; Karlstads universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Privacy-enhancing technologies PETs ; Privacy-enhancing identity management PE-IdM ; Usability; Smart environments; Intelligent transportation systems; Privacy preferences; Qualitative research; Computer Science; Datavetenskap;

    Abstract : Smart environments provide users with a large number of new services that will improve their lives, however, they also have the potential for collecting staggering amounts of personal information, which, if misused, poses a multitude of privacy threats to users ranging from identification, tracking, stalking, monitoring and profiling. Consequently, the users’ right to informational self-determination is at stake in smart environments. READ MORE

  3. 3. A Collaborative Access Control Framework for Online Social Networks

    Author : Hanaa Alshareef; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Collaborative Access Control; Privacy; Multiparty; Online Social Networks;

    Abstract : Online social networks (OSNs) are one of the most popular web-based services for people to communicate and share information with each other. With all their benefits, OSNs might raise serious problems in what concerns users' privacy. One privacy risk is caused by accessing and sharing co-owned data items, i.e. READ MORE

  4. 4. Secure and Privacy-Aware Data Collection in Wireless Sensor Networks

    Author : Ioana Rodhe; Christian Rohner; Per Gunningberg; Roberto Di Pietro; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Secure Data Collection; Key Distribution; Location Privacy; Quality of Information; Wireless Sensor Networks; Datavetenskap med inriktning mot datorkommunikation; Computer Science with specialization in Computer Communication;

    Abstract : A wireless sensor network is a collection of numerous sensors distributed on an area of interest to collect and process data from the environment. One particular threat in wireless sensor networks is node compromise attacks, that is, attacks where the adversary gets physical access to a node and to the programs and keying material stored on it. READ MORE

  5. 5. Trust-Based User Profiling

    Author : Nima Dokoohaki; Mihhail Matskin; Vlad Vlassov; Felix Wu; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; trust; userprofiling; userprofiles; privacy; interest; socialnetwork; recommendersystems;

    Abstract : We have introduced the notion of user profiling with trust, as a solution to theproblem of uncertainty and unmanageable exposure of personal data duringaccess, retrieval and consumption by web applications. Our solution sug-gests explicit modeling of trust and embedding trust metrics and mechanismswithin very fabric of user profiles. READ MORE