Skip to Main content Skip to Navigation
Conference papers

Information leakage analysis of inner-product functional encryption based data classification

Damien Ligier 1, 2, 3, 4 Sergiu Carpov 4 Caroline Fontaine 5, 2 Renaud Sirdey 4
1 Lab-STICC_TB_CID_SFIIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
5 Lab-STICC_IMTA_CID_IRIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this work, we study the practical security of inner- product functional encryption. We left behind the mathematical security proof of the schemes, provided in the literature, and focus on what attackers can use in realistic scenarios without tricking the protocol, and how they can retrieve more than they should be able to. This study is based on the proposed protocol from [1]. We generalised the scenario to an attacker possessing n secret keys. We proposed attacks based on machine learning, and experiment them over the MNIST dataset [2].
Document type :
Conference papers
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-01802702
Contributor : Bibliothèque Télécom Bretagne Connect in order to contact the contributor
Submitted on : Tuesday, May 29, 2018 - 3:55:19 PM
Last modification on : Wednesday, November 3, 2021 - 5:44:54 AM

Identifiers

Citation

Damien Ligier, Sergiu Carpov, Caroline Fontaine, Renaud Sirdey. Information leakage analysis of inner-product functional encryption based data classification. PST'17 : 15th International Conference on Privacy, Security and Trust, Aug 2017, Calgary, Canada. ⟨10.1109/PST.2017.00043⟩. ⟨hal-01802702⟩

Share

Metrics

Record views

714