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Trust-based access control model from sociological approach in dynamic online social network environment
1Department of Electronic Information Science, Korea Military Academy, Gongreung-dong, Nowon-gu, Seoul 139-799, Republic of Korea ; CIST (Center for Information Security Technologies), Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Republic of Korea.
Thescientificworldjournal
|November 7, 2014
Summary
Online social networks (OSNs) pose privacy risks. This study introduces a dynamic trust-based access control system to manage user data dynamically, enhancing security in social networks.
Area of Science:
- Computer Science
- Social Computing
- Information Security
Background:
- Online social networks (OSNs) have rapidly expanded, offering communication and relationship-building opportunities.
- However, OSNs face challenges including privacy breaches, uncontrolled content disclosure, and misinformation dissemination.
- Existing access control models (MAC, DAC, RBAC) are ill-suited for the dynamic and unpredictable nature of OSN environments.
Purpose of the Study:
- To address the limitations of static access control in OSNs.
- To propose a novel dynamic trust-based access control model tailored for OSNs.
- To enhance information security and user privacy within social network platforms.
Main Methods:
- Developed a dynamic trust-based access control framework for OSNs.
- Introduced new criteria, including a sociological approach, for evaluating trust factors.
- Implemented a method for calculating dynamic trust values based on user behavior.
Main Results:
- The proposed model effectively monitors negative user behavior within OSNs.
- Access permission levels are dynamically adjusted based on calculated trust values.
- Demonstrated the capability to prevent indiscriminate information disclosure.
Conclusions:
- Dynamic trust-based access control offers a superior solution for managing security in evolving OSN environments.
- The proposed method provides a flexible and adaptive approach to access control.
- This system enhances user privacy and mitigates risks associated with information sharing on social platforms.
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