Search for dissertations about: "Data protection"

Showing result 1 - 5 of 548 swedish dissertations containing the words Data protection.

  1. 1. Paying with Data : A Study on EU Consumer Law and the Protection of Personal Data

    Author : Andreas Kotsios; Maria Bergström; Vladimir Bastidas Venegas; Torbjörn Ingvarsson; Geraint Howells; Uppsala universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; consumer law; data protection law; EU law; EU private law; payments; payments with data; consumer protection; data protection; Europarätt; European Integration Law;

    Abstract : “If you are not paying for the product you are the product”. In a paraphrasis: if you do not pay for the product with money, you probably pay for it with your personal data. READ MORE

  2. 2. Legal Implications of Data Mining : Assessing the European Union’s Data Protection Principles in Light of the United States Government’s National Intelligence Data Mining Practices

    Author : Liane Colonna; Cecilia Magnusson Sjöberg; Antonina Bakardjieva-Engelbrekt; Dan Svantesson; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; data mining; data protection; privacy; Directive 95 46 ec; data transfers; EU law; US law; rättsinformatik; Law and Information Technology;

    Abstract : This dissertation addresses some of the data protection challenges that have arisen from globalization, technological progress, terrorism and seamless cross-border flows of personal data.  The focus of the thesis is to examine ways to protect the personal data of EU citizens, which may be collected by communications service providers such as Google and Facebook, transferred to the US Government and data mined within the context of American national intelligence surveillance programs. READ MORE

  3. 3. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations

    Author : Navoda Senavirathne; Vicenç Torra; Maria Riveiro; Sonja Buchegger; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data anonymization; data privacy; privacy-preserving machine learning; privacy preserving data publishing; personal data protection; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. READ MORE

  4. 4. Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems

    Author : Leonardo H Iwaya; Simone Fischer-Hübner; Leonardo Martucci; Rose-Mharie Åhlfeldt; Sokratis Katsikas; Karlstads universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Mobile health; information security; data privacy; data collection; personal health data; Computer Science; Datavetenskap; Computer Science; Datavetenskap;

    Abstract : Healthcare systems have assimilated information and communication technologies in order to improve the quality of healthcare and patient's experience at reduced costs. The increasing digitalization of people's health information raises however new threats regarding information security and privacy. READ MORE

  5. 5. Our Humanity Exposed : Predictive Modelling in a Legal Context

    Author : Stanley Greenstein; Peter Wahlgren; Dan Svantesson; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; predictive modelling; predictive analytics; profiling; big data; algorithm; surveillance; privacy; autonomy; identity; digital identity; data privacy; human rights; data protection; European Convention on Human Rights; Data Protection Directive; General Data Protection Regulation GDPR ; empowerment; Law and Information Technology; rättsinformatik;

    Abstract : This thesis examines predictive modelling from the legal perspective. Predictive modelling is a technology based on applied statistics, mathematics, machine learning and artificial intelligence that uses algorithms to analyse big data collections, and identify patterns that are invisible to human beings. READ MORE