Sökning: "k-anonymity"
Visar resultat 1 - 5 av 9 uppsatser innehållade ordet k-anonymity.
1. Application of anonymization techniques (k-anonymity, generalization, and suppression) on an employee database: Use case – Swedish municipality
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This thesis explores data anonymization techniques within the context of a Swedish municipality with a focus on safeguarding data privacy, enhancement of decision-making, and assessing re-identification risks. The investigation, grounded in a literature review and an experimental study, employed the ARX anonymization tool on a sample municipality employee database. LÄS MER
2. Anonymization of smart meter data
M1-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Ever since the General Data Protection Regulation (GDPR) came into force, data anonymization has become even more relevant and important than before, especially for companies wanting to share and analyze their data. This thesis will anonymize smart meter data received from Tekniska Verken and evaluate how the anonymization method performs regarding the trade-off between information loss and privacy for the given dataset. LÄS MER
3. Assessment of Privacy-preserving Computation Techniques for Marketing Analytics
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Nowadays, a large number of services require personal information for analy- sis, which brings privacy concerns. Notably, the marketing departments strive for detailed personal information for a more personalized advertising expe- rience. LÄS MER
4. Synthetic Data Generation for Anonymization
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Because of regulations but also from a need to find willing participants for surveys, any released data needs to have some sort of privacy preservation. Privacy preservation, however, always requires some sort of reduction of the utility of the data, how much can vary with the method. LÄS MER
5. The Effect of 5-anonymity on a classifier based on neural network that is applied to the adult dataset
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Privacy issues relating to having data made public is relevant with the introduction of the GDPR. To limit problems related to data becoming public, intentionally or via an event such as a security breach, anonymization of datasets can be employed. LÄS MER
