Safety of Quantified ABoxes w.r.t. Singleton ℰℒ Policies

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

In recent work, we have shown how to compute compliant anonymizations of quantified ABoxes w.r.t. 𝓔𝓛 policies. In this setting, quantified ABoxes can be used to publish information about individuals, some of which are anonymized. The policy is given by concepts of the Description Logic (DL) 𝓔𝓛, and compliance means that one cannot derive from the ABox that some non-anonymized individual is an instance of a policy concept. If one assumes that a possible attacker could have additional knowledge about some of the involved non-anonymized individuals, then compliance with a policy is not sufficient. One wants to ensure that the quantified ABox is safe in the sense that none of the secret instance information is revealed, even if the attacker has additional compliant knowledge. In the present paper, we show that safety can be decided in polynomial time, and that the unique optimal safe anonymization of a non-safe quantified ABox can be computed in exponential time, provided that the policy consists of a single 𝓔𝓛 concept.

Details

OriginalspracheEnglisch
TitelProceedings of the 36th Annual ACM Symposium on Applied Computing (SAC '21), March 22-26, 2021, Virtual Event, Republic of Korea
Herausgeber (Verlag)Association for Computing Machinery (ACM), New York
Seiten863-872
Seitenumfang10
ISBN (elektronisch)9781450381048
PublikationsstatusVeröffentlicht - 22 März 2021
Peer-Review-StatusJa

Konferenz

TitelAnnual ACM Symposium on Applied Computing
KurztitelSAC '21
Veranstaltungsnummer36
Dauer22 - 26 März 2021
BekanntheitsgradInternationale Veranstaltung
Ort
StadtVirtual Event
LandSüdkorea

Externe IDs

ORCID /0000-0002-4049-221X/work/142247859
ORCID /0000-0002-9047-7624/work/142251240
ORCID /0000-0003-0219-0330/work/153109369
Scopus 85104970612

Schlagworte

ASJC Scopus Sachgebiete

Schlagwörter

  • compliance, description logic, privacy-preserving ontology publishing, quantified ABox, safety