Sökning: "Tobias Pulls"
Hittade 5 avhandlingar innehållade orden Tobias Pulls.
1. Privacy-Preserving Transparency-Enhancing Tools
Sammanfattning : Transparency is a key principle in democratic societies. For example, the public sector is in part kept honest and fair with the help of transparency through different freedom of information (FOI) legislations. LÄS MER
2. Preserving Privacy in Transparency Logging
Sammanfattning : The subject of this dissertation is the construction of privacy-enhancing technologies (PETs) for transparency logging, a technology at the intersection of privacy, transparency, and accountability. Transparency logging facilitates the transportation of data from service providers to users of services and is therefore a key enabler for ex-post transparency-enhancing tools (TETs). LÄS MER
3. On Certificate Transparency Verification and Unlinkability of Websites Visited by Tor Users
Sammanfattning : Certificate Transparency is an ecosystem of logs, monitors, and auditors that hold certificate authorities accountable while issuing certificates. We show how the amount of trust that TLS clients and domain owners need to place in Certificate Transparency can be reduced, both in the context of existing gradual deployments and the largely unexplored area of Tor. LÄS MER
4. Measuring Apps' Privacy-Friendliness : Introducing transparency to apps' data access behavior
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
5. Towards Measuring Apps' Privacy-Friendliness
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