Extracting LPL privacy policy purposes from annotated web service source code

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dc.contributor.authorHjerppe Kalle
dc.contributor.authorRuohonen Jukka
dc.contributor.authorLeppänen Ville
dc.contributor.organizationfi=ohjelmistotekniikka|en=Software Engineering|
dc.contributor.organization-code1.2.246.10.2458963.20.71310837563
dc.contributor.organization-code2610302
dc.converis.publication-id175170270
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/175170270
dc.date.accessioned2022-10-28T14:01:46Z
dc.date.available2022-10-28T14:01:46Z
dc.description.abstractPrivacy policies are a mechanism used to inform users of the World Wide Web about the processing of their personal data. Such processing has special requirements, since personal data are regulated by data protection legislation. For example, a consent or another legal basis is typically needed. Privacy policies are documents used, among other things, to inform the data subject about processing of their personal data. These are formally represented by privacy languages. In this paper, we present a technique for constructing Layered Privacy Language policy data from web service code bases. Theoretically, we model the purposes of processing within web services by extending the privacy language with composition. We also present a formal analysis method for generating privacy policy purposes from the source code of web services. Furthermore, as a practical contribution, we present a static analysis tool that implements the theoretical solution. Finally, we report a brief case study for validating the tool
dc.identifier.eissn1619-1374
dc.identifier.jour-issn1619-1366
dc.identifier.olddbid185830
dc.identifier.oldhandle10024/168924
dc.identifier.urihttps://www.utupub.fi/handle/11111/42595
dc.identifier.urlhttps://doi.org/10.1007/s10270-022-00998-y
dc.identifier.urnURN:NBN:fi-fe2022081154774
dc.language.isoen
dc.okm.affiliatedauthorHjerppe, Kalle
dc.okm.affiliatedauthorRuohonen, Jukka
dc.okm.affiliatedauthorLeppänen, Ville
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherSPRINGER HEIDELBERG
dc.publisher.countryGermanyen_GB
dc.publisher.countrySaksafi_FI
dc.publisher.country-codeDE
dc.relation.doi10.1007/s10270-022-00998-y
dc.relation.ispartofjournalSoftware and Systems Modeling
dc.source.identifierhttps://www.utupub.fi/handle/10024/168924
dc.titleExtracting LPL privacy policy purposes from annotated web service source code
dc.year.issued2023

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