Runtime Verification and Quality Assessment for Privacy Violations Detection in Social Networking System

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50013661" target="_blank" >RIV/62690094:18450/16:50013661 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3233/978-1-61499-674-3-346" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-674-3-346</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/978-1-61499-674-3-346" target="_blank" >10.3233/978-1-61499-674-3-346</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Runtime Verification and Quality Assessment for Privacy Violations Detection in Social Networking System

Popis výsledku v původním jazyce

Agent privacy in social networking systems is directly affected by many factors, mainly agent interaction and social activities such as creating relationship links and content sharing between agents. Based on these activities, agent privacy in social networking systems can be protected at three access control levels that are at individual, social and content levels. However, an agent may unintentionally violate its privacy during runtime by overexposing or oversharing its personal, relationship or content information due to the dynamic of the agent privacy preferences and social behavior. Hence, a solution to monitor the level of agent privacy during runtime is needed. In this research, a solution called Runtime Verification and Quality Assessment (RVQA) is proposed to improve agent privacy violations detection during the execution of agents social activities by combining the verification and assessment process from individual, social and content levels. New agent privacy requirements, parameters, checking rules and algorithms to detect agent privacy violations are presented. The effectiveness of the proposed solution is evaluated by implementing RVQA within agent-based social networking system model.

Název v anglickém jazyce

Runtime Verification and Quality Assessment for Privacy Violations Detection in Social Networking System

Popis výsledku anglicky

Agent privacy in social networking systems is directly affected by many factors, mainly agent interaction and social activities such as creating relationship links and content sharing between agents. Based on these activities, agent privacy in social networking systems can be protected at three access control levels that are at individual, social and content levels. However, an agent may unintentionally violate its privacy during runtime by overexposing or oversharing its personal, relationship or content information due to the dynamic of the agent privacy preferences and social behavior. Hence, a solution to monitor the level of agent privacy during runtime is needed. In this research, a solution called Runtime Verification and Quality Assessment (RVQA) is proposed to improve agent privacy violations detection during the execution of agents social activities by combining the verification and assessment process from individual, social and content levels. New agent privacy requirements, parameters, checking rules and algorithms to detect agent privacy violations are presented. The effectiveness of the proposed solution is evaluated by implementing RVQA within agent-based social networking system model.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Frontiers in Artificial Intelligence and Applications

ISBN

978-1-61499-674-3

ISSN

0922-6389

e-ISSN

neuvedeno

Počet stran výsledku

12

Strana od-do

346-357

Název nakladatele

IOS press

Místo vydání

Amsterdam

Místo konání akce

CYPRUS

Datum konání akce

13. 9. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000383373300030