Trust-based access control model from sociological approach in dynamic online social network environment

Seungsoo Baek, Seung-Joo Kim

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

There has been an explosive increase in the population of the OSN (online social network) in recent years. The OSN provides users with many opportunities to communicate among friends and family. Further, it facilitates developing new relationships with previously unknown people having similar beliefs or interests. However, the OSN can expose users to adverse effects such as privacy breaches, the disclosing of uncontrolled material, and the disseminating of false information. Traditional access control models such as MAC, DAC, and RBAC are applied to the OSN to address these problems. However, these models are not suitable for the dynamic OSN environment because user behavior in the OSN is unpredictable and static access control imposes a burden on the users to change the access control rules individually. We propose a dynamic trust-based access control for the OSN to address the problems of the traditional static access control. Moreover, we provide novel criteria to evaluate trust factors such as sociological approach and evaluate a method to calculate the dynamic trust values. The proposed method can monitor negative behavior and modify access permission levels dynamically to prevent the indiscriminate disclosure of information.

Original languageEnglish
Article number936319
JournalScientific World Journal
Volume2014
DOIs
Publication statusPublished - 2014

Fingerprint

Social Environment
social network
Access control
Social Support
Privacy
Disclosure
explosive
Population

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Medicine(all)

Cite this

Trust-based access control model from sociological approach in dynamic online social network environment. / Baek, Seungsoo; Kim, Seung-Joo.

In: Scientific World Journal, Vol. 2014, 936319, 2014.

Research output: Contribution to journalArticle

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