ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-07112019-074657


Tipo di tesi
Tesi di laurea magistrale
Autore
ERDEM, HUSEYIN VAROL
URN
etd-07112019-074657
Titolo
Assessing Privacy Risk on Social Network Data
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Monreale, Anna
Parole chiave
  • data mining
  • classification
  • social network
  • degradation
  • analysis
  • correlation
  • risk assessment
  • cost-sensitive classifiers
  • social network data
  • privacy risk
Data inizio appello
26/07/2019
Consultabilità
Non consultabile
Data di rilascio
26/07/2089
Riassunto
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 a 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.
File