ETD

Digital archive of theses discussed at the University of Pisa

 

Thesis etd-07112019-080717


Thesis type
Tesi di laurea magistrale
Author
KOCAN, SIMAY
URN
etd-07112019-080717
Thesis title
Assessing Privacy Risk on Social Network Data
Department
INFORMATICA
Course of study
INFORMATICA
Supervisors
relatore Monreale, Anna
Keywords
  • correlation
  • risk assessment
  • cost-sensitive classifiers
  • social network data
  • degradation
  • analysis
  • privacy risk
  • social network
  • data mining
  • classification
Graduation session start date
26/07/2019
Availability
Withheld
Release date
26/07/2089
Summary
We propose a study of the privacy risk on social network data using the state-of-the-art framework. We perform direct simulation of different privacy attacks to compute privacy risk. We also show the results of privacy risk distributions based on the type of privacy attack and realize degradation analysis on the social network graph. To tackle the high computational complexity of such simulation we use an alternative data mining approach to estimate privacy risk using node level metrics. In the end, we compare the computational complexities of two approaches and evaluate results.
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