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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

Frontiers in Artificial Intelligence and Applications

ISBN

978-1-61499-674-3

ISSN

0922-6389

e-ISSN

neuvedeno

Number of pages

12

Pages from-to

346-357

Publisher name

IOS press

Place of publication

Amsterdam

Event location

CYPRUS

Event date

Sep 13, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000383373300030