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Community-Centric Brokerage-Aware Access Control for Online Social Networks

机译:以社区为中心的经纪信息感知访问控制,用于在线社交网络

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摘要

Widespread use and global outreach of Online Social Networks (OSNs) has made it indispensable for everyone to be a part of this global community. Users of OSNs want to share and disseminate some information to the general public, on the other hand, they also want to keep certain information hidden or restricted to a few people. An OSN allows users to join different groups based on their interests, however, some irrelevant people may also join these groups. This brings forth the challenge of privacy to OSNs. Therefore, an effective access control system is highly desirable that can manage the access control of incoming and outgoing users of a group in OSNs. This study deals with privacy issues of online communities and aims to support access control in community-based OSNs. We propose a Community-Centric Brokerage-Aware Access Control (CBAC) model that utilizes important concepts from Social Network Analysis (SNA) which are brokerage, one-to-many relationships, temporary relationships, as well as from emerging access control models such as attribute-based and trust-based access control along with decentralized policies. User attributes can play a vital role in detecting communities in a graph. For community detection, we propose Attribute-Based Community Detection (ABCD) algorithm and compare its results with Louvain, Newman's Eigenvector, and Clauset algorithms. The results of the ABCD algorithm outperform other methods in terms of modularity and the number of communities for large and dense networks. The contribution of this study is to propose a CBAC model, its mathematical modeling and the ABCD algorithm for community detection. The performance of the CBAC model was evaluated in terms of grants, denials, and response time. The performance of the proposed the CBAC model is compared with the Role-based Access Control (RBAC) model and the Team-based Access Control (TM AC) model. The CBAC model offers the best data sharing capabilities and provides comparatively reasonable response time.
机译:在线社交网络(OSNS)广泛使用和全球外展已经使每个人成为这一全球社区的一部分,使其成为必不可少的。 OSNS的用户希望将一些信息分享并传播给公众,另一方面,他们也希望保留隐藏或限制为少数人的某些信息。 osn允许用户根据他们的兴趣加入不同的组,但是,一些无关的人也可以加入这些组。这带来了隐私对OSN的挑战。因此,非常希望有效访问控制系统,其可以管理OSN中的组的进出用户的访问控制。本研究涉及在线社区的隐私问题,并旨在支持基于社区的OSN中的访问控制。我们提出了一个以社区为中心的经纪感知访问控制(CBAC)模型,利用来自社交网络分析(SNA)的重要概念,这些概念是经纪,一对多关系,临时关系,以及来自新兴的访问控制模型基于属性和基于信任的访问控制以及分散的策略。用户属性可以在检测图中的社区中扮演重要作用。对于社区检测,我们提出基于属性的社区检测(ABCD)算法,并将其结果与Louvain,Negen的特征向量和Clauset算法进行比较。 ABCD算法的结果在模块化和大型和密集网络的社区数量方面优于其他方法。本研究的贡献是提出CBAC模型,其数学建模和用于社区检测的ABCD算法。 CBAC模型的性能是根据拨款,拒绝和响应时间评估的。提出的CBAC模型的性能与基于角色的访问控制(RBAC)模型和基于团队的访问控制(TM AC)模型进行了比较。 CBAC型号提供最佳数据共享功能,并提供相对合理的响应时间。

著录项

  • 来源
    《Future generation computer systems》 |2020年第8期|469-478|共10页
  • 作者单位

    Department of Computer Science COMSATS University Islamabad (CUI) Islamabad Pakistan;

    Department of Computer Science COMSATS University Islamabad (CUI) Islamabad Pakistan;

    Department of Computer Science COMSATS University Islamabad (CUI) Islamabad Pakistan;

    Department of Computer Science COMSATS University Islamabad (CUI) Islamabad Pakistan;

    Department of Computer and Information Science Pakistan Institute of Engineering and Applied Sciences Islamabad Pakistan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Access control; Community detection; Online Social Networks; Trust; Brokerage;

    机译:访问控制;社区检测;在线社交网络;相信;经纪人;

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