Content-Based Privacy Management on the Social Web

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187787" target="_blank" >RIV/68407700:21230/11:00187787 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/WI-IAT.2011.208" target="_blank" >http://dx.doi.org/10.1109/WI-IAT.2011.208</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/WI-IAT.2011.208" target="_blank" >10.1109/WI-IAT.2011.208</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Content-Based Privacy Management on the Social Web

Popis výsledku v původním jazyce

Protection of privacy is a major concern for users of social web applications, including social networks. Although most online social networks now offer fine-grained controls of information sharing, these are rarely used, both because their use imposes additional burden on the user and because they are too complex for an average user to handle. To mitigate the problem, we propose an intelligent privacy manager that automates the assignment of sharing permissions, taking into account the content of the published information and user's high-level sharing policies. At the core of our contribution is a novel privacy policy language which explicitly accounts for social web concepts and which balances the expressive power with representation complexity. Themanager employs named entity recognition algorithms to annotate sensitive parts of published information and an answer set programming system to evaluate user's privacy policies and determine the list of safe recipients. We implemented a

Název v anglickém jazyce

Content-Based Privacy Management on the Social Web

Popis výsledku anglicky

Protection of privacy is a major concern for users of social web applications, including social networks. Although most online social networks now offer fine-grained controls of information sharing, these are rarely used, both because their use imposes additional burden on the user and because they are too complex for an average user to handle. To mitigate the problem, we propose an intelligent privacy manager that automates the assignment of sharing permissions, taking into account the content of the published information and user's high-level sharing policies. At the core of our contribution is a novel privacy policy language which explicitly accounts for social web concepts and which balances the expressive power with representation complexity. Themanager employs named entity recognition algorithms to annotate sensitive parts of published information and an answer set programming system to evaluate user's privacy policies and determine the list of safe recipients. We implemented a

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings Web Intelligence and Intelligent Agent Technology WI-IAT11

ISBN

978-0-7695-4513-4

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

277-280

Název nakladatele

IEEE Computer Soc.

Místo vydání

Los Alamitos, CA

Místo konání akce

Lyon

Datum konání akce

22. 8. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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