Sökning: "anonymization techniques"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden anonymization techniques.

1. 1. Data mining in healthcare : A security and privacy perspective

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Sara Vimark; [2023]
   Nyckelord :data mining; healthcare; security; privacy;

   Sammanfattning : Data mining has become an essential tool in various domains, including healthcare, for finding patterns and relationships in large datasets to solve business issues. However, given the sensitivity of healthcare data, safeguarding confidentiality and privacy to protect patient information is highly prioritized. LÄS MER

3. 2. 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 rymdteknik

   Författare :Babatunde Oyedele; [2023]
   Nyckelord :anonymization; anonymization techniques; k-anonymity; generalization; suppression; ARX tool;

   Sammanfattning : 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

4. 3. Federated Learning in Autonomous Vehicles Setting- GDPR perspective

   Master-uppsats, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

   Författare :Seada Bogucanin Volic; [2022]
   Nyckelord :Law and technology; Artificial Intelligence; Privacy; Machine learning; Privacy protection; Privacy preservation techniques; Compliance; Autonomous vehicles; Law and Political Science;

   Sammanfattning : This paper legally tests federated learning as a machine learning technique, which guarantees a high level of privacy. This paper provides answers to all legal aspects of this technical development as the first legal paper in this area, while challenging vague GDPR requirements. LÄS MER

5. 4. Privacy-aware data generation : Using generative adversarial networks and differential privacy

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Felix Hübinette; [2022]
   Nyckelord :GANS; DP; generative adversarial networks; differential privacy; data generation; privacy; security;

   Sammanfattning : Today we are surrounded by IOT devices that constantly generate different kinds of data about its environment and its users. Much of this data could be useful for different research purposes and development, but a lot of this collected data is privacy-sensitive for the individual person. LÄS MER

7. 5. Research in methods for achieving secure voice anonymization : Evaluation and improvement of voice anonymization techniques for whistleblowing

   Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Erik Hellman; Mattias Nordstrand; [2022]
   Nyckelord :Voice anonymization; voice deanonymization; data privacy; machine learning; neural networks; whistleblowing; röstanonymisering; röstdeanonymisering; datasäkerhet; maskininlärning; neurala nätverk; visselblåsning;

   Sammanfattning : Safe whistleblowing within companies could give a more transparent and open society, and keeping the whistleblower safe is key, this has led to a new EU Whistleblowing Directive requiring each organization with more than 249 employees to provide an internal channel for whistleblowing before 17 July 2022. A whistleblowing service within an entity should provide secure communication for the organization and its employees. LÄS MER