A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Regulatory Compliance Verification: A Privacy Preserving Approach
Tekijät: Morello, Massimo; Sainio, Petri; Alshawki, Mohammed
Toimittaja: Ganascia, Jean-Gabriel; Pujolle, Guy; Noura, Hassan; Salman, Ola; Hariss, Khalil; El Husseini, Fatema; El Madhoun, Nour
Konferenssin vakiintunut nimi: Cyber Security in Networking Conference
Julkaisuvuosi: 2024
Journal: Cyber Security in Networking Conference
Kokoomateoksen nimi: Proceedings of The 8th Cyber Security in Networking Conference (CSNet 2024): AI for Cybersecurity
Vuosikerta: 8
Aloitussivu: 263
Lopetussivu: 267
ISBN: 979-8-3315-3411-0
eISBN: 979-8-3315-3410-3
ISSN: 2768-0010
eISSN: 2768-0029
DOI: https://doi.org/10.1109/CSNet64211.2024.10851761
Verkko-osoite: https://ieeexplore.ieee.org/document/10851761
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/181989282
During the regulatory compliance verification, the verifier may need to gain access to private information that can present risks to the privacy of the entities being verified. Therefore, while ensuring that entities are compliant with the regulations, such as GDPR, the regulatory compliance verification process need to safeguard the privacy of those entities. This paper proposes a privacy preserving regulatory compliance verification protocol, which has been integrated and implemented in a use case to verify the compliance with the article 32 of the GDPR. It provides a regulatory verification protocol, based on the attribute verification protocol, that reveals no private information of the entity being verified, other than the fact that it is compliant. Our results showed that the proposed protocol can efficiently verify the regulatory compliance of an entity by an external verifier.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
This research was supported by Project no. TKP2021-NVA-29 implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-NVA funding scheme.
