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首页> 外文会议>International symposium on cyber security cryptography and machine learning >An Access Control Model for Data Security in Online Social Networks Based on Role and User Credibility
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An Access Control Model for Data Security in Online Social Networks Based on Role and User Credibility

机译：基于角色和用户可信度的在线社交网络数据安全访问控制模型

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摘要

During the past decade Online Social Networks (OSN) privacy has been thoroughly studied in many aspects. Some of these privacy related aspects are trust and credibility involving the OSN user-data conveyed by different relationships in the network. One of OSN major problems is that users expose their information in a manner thought to be relatively private, or even partially public, to unknown and possibly unwanted entities, such as adversaries, social bots, fake users, spammers or data-harvesters. That is one of the reasons OSN have become a major source of information for companies, different organizations and personal users, possibly misusing it for personal or business gain. Preventing this information leakage is the target of many OSN privacy models, such as Access Control, Relationship based models, Trust based models and many others. In this paper we suggest a new Role and Trust based Access Control model, denoted here as RTBAC, in which roles, that manifest different permissions, are assigned to the users connected to the Ego-node (the user sharing the information), and in addition, every user is evaluated trust wise by several criteria, such as total number of friends, age of user account, and friendship duration. These role and trust assessments provide more precise and viable information sharing decisions and enable better privacy control in the social network.
机译：在过去的十年中，在线社交网络（OSN）隐私已在许多方面进行了深入研究。这些与隐私有关的方面中的一些是涉及网络中不同关系所传达的OSN用户数据的信任和可信度。 OSN的主要问题之一是，用户以相对不公开甚至部分公开的方式将其信息公开给未知的和可能有害的实体，例如对手，社交机器人，假冒用户，垃圾邮件发送者或数据收集者。这就是OSN成为公司，不同组织和个人用户的主要信息来源的原因之一，可能将其滥用以谋取个人或商业利益。防止此信息泄漏是许多OSN隐私模型的目标，例如访问控制，基于关系的模型，基于信任的模型以及许多其他模型。在本文中，我们提出了一个新的基于角色和信任的访问控制模型，在此表示为RTBAC，其中将表现出不同权限的角色分配给连接到自我节点的用户（共享信息的用户），并在其中此外，通过几个标准，例如朋友总数，用户帐户的年龄和友谊持续时间，对每个用户进行信任评估。这些角色和信任评估可提供更精确和可行的信息共享决策，并能在社交网络中更好地控制隐私。

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