Heal the Privacy: Functional Encryption and Privacy-Preserving Analytics

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

Abstrakti

Secure cloud storage is an issue of paramount importance that both businesses and end-users should take into consideration before moving their data to, potentially, untrusted clouds. Migrating data to the cloud raises multiple privacy issues, as they are completely controlled by a cloud provider. Hence, an untrusted cloud provider can potentially breach users' privacy and gain access to sensitive information. The problem becomes even more pronounced when the cloud provider is required to store a statistical database and periodically publish analytics. In this work, we first present a detailed example showing that the use of cryptography is not enough to ensure the privacy of individuals. Then, we design a hybrid protocol based on Functional Encryption and Differential Privacy that allows the computations of statistics in a privacy-preserving way.

AlkuperäiskieliEnglanti
OtsikkoMELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings
KustantajaIEEE
Sivut120-125
Sivumäärä6
ISBN (elektroninen)9781665442800
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE Mediterranean Electrotechnical Conference - Palermo, Italia
Kesto: 14 kesäk. 202216 kesäk. 2022

Julkaisusarja

NimiIEEE Mediterranean Electrotechnical Conference
ISSN (elektroninen)2158-8481

Conference

ConferenceIEEE Mediterranean Electrotechnical Conference
Maa/AlueItalia
KaupunkiPalermo
Ajanjakso14/06/2216/06/22

Julkaisufoorumi-taso

  • Jufo-taso 0

!!ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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