Sökning: "privacy risks"

Visar resultat 6 - 10 av 36 avhandlingar innehållade orden privacy risks.

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

   Författare :Navoda Senavirathne; Vicenç Torra; Maria Riveiro; Sonja Buchegger; Högskolan i Skövde; []
   Nyckelord :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 ;

   Sammanfattning : 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. LÄS MER

3. 7. Measuring Apps' Privacy-Friendliness : Introducing transparency to apps' data access behavior

   Författare :Nurul Momen; Lothar Fritsch; Tobias Pulls; Einar Snekkenes; Karlstads universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mobile Apps; User data; Transparency; Privacy; Data protection; Computer Science; Datavetenskap;

   Sammanfattning : Mobile apps brought unprecedented convenience to everyday life, and nowadays, hardly any interactive service exists without having an interface through an app. The rich functionalities of apps rely on the pervasive capabilities of the mobile device, such as its cameras and other types of sensors. LÄS MER

4. 8. Smart connected homes : concepts, risks, and challenges

   Författare :Joseph Bugeja; Jan Persson; Malmö universitet; []
   Nyckelord :Smart Connected Homes; Internet of Things; Smart Home Devices; Data Lifecycle; Security Risks; Privacy Management; Vulnerability Assessment; Security Mitigations; Threat Agents; Smart Home Services; System Architecture;

   Sammanfattning : The growth and presence of heterogeneous connected devices inside the home have the potential to provide increased efficiency and quality of life to the residents. Simultaneously, these devices tend to be Internet-connected and continuously monitor, collect, and transmit data about the residents and their daily lifestyle activities. LÄS MER

5. 9. Privacy Mechanism Design Through the Lens of Information Theory : With Applications to Compression, Caching, and Semantic Communication

   Författare :Amirreza Zamani; Mikael Skoglund; Tobias J. Oechtering; Parastoo Sadeghi; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Privacy mechanism design; Leakage matrix; Strong privacy criterion; KL-divergence; Local approximation; Euclidean information geometry; Privacy-utility trade-off; χ2-privacy criterion; l1-privacy criterion; Common information; Functional representation lemma; Two-part construction coding; Design av sekretessmekanism; Läckagematris; Stark sekretesskriterium; KL-divergens; Lokal approximation; Euklidisk informationsgeometri; Sekretess-nyttoavvägning; χ2-sekretesskriterium; l1-sekretesskriterium; Gemensam information; Lemma för funktionell representation; Kodning med tvådelad konstruktion.; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Privacy mechanism design is an important research area and is receiving increased attention in recent years. This field focuses on addressing the challenge of revealing general data that might have correlations with sensitive information, all while protecting this sensitive information against unauthorized access. LÄS MER

7. 10. Towards Measuring Apps' Privacy-Friendliness

   Författare :Nurul Momen; Lothar Fritsch; Tobias Pulls; Audun Jøsang; Karlstads universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mobile OS; Apps; User data; Transparency; Privacy; Computer Science; Datavetenskap;

   Sammanfattning : Today's phone could be described as a charismatic tool that has the ability to keep human beings captivated for a considerable amount of their precious time. Users remain in the illusory wonderland with free services, while their data becomes the subject to monetizing by a genie called big data. LÄS MER