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首页> 外文期刊>Wiley interdisciplinary reviews. Data mining and knowledge discovery >Knowledge‐based approaches for identity management in online social networks
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Knowledge‐based approaches for identity management in online social networks

机译:基于知识的在线社交网络中的身份管理方法

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摘要

>When we meet a new person, we start by introducing ourselves. We share our names, and other information about our jobs, cities, family status, and so on. This is how socializing and social interactions can start: we first need to identify each other. Identification is a cornerstone in establishing social contacts. We identify ourselves and others by a set of civil (e.g., name, nationality, ID number, gender) and social (e.g., music taste, hobbies, religion) characteristics. This seamlessly carried out identification process in face‐to‐face interactions is challenged in the virtual realms of socializing, such as in online social network (OSN) platforms. New identities (i.e., online profiles) could be created without being subject to any level of verification, making it easy to create fake information and forge fake identities. This has led to a massive proliferation of accounts that represent fake identities (i.e., not mapping to physically existing entities), and that poison the online socializing environment with fake information and malicious behavior (e.g., child abuse, information stealing). Within this milieu, users in OSNs are left unarmed against the challenging task of identifying the real person behind the screen. OSN providers and research bodies have dedicated considerable effort to the study of the behavior and features of fake OSN identities, trying to find ways to detect them. Some other research initiatives have explored possible techniques to enable identity validation in OSNs. Both kinds of approach rely on extracting knowledge from the OSN, and exploiting it to achieve identification management in their realms. We provide a review of the most prominent works in the literature. We define the problem, provide a taxonomy of related attacks, and discuss the available solutions and approaches for knowledge‐based identity management in OSNs. > This article is categorized under: Fundamental Concepts of Data and Knowledge Human Centricity and User Interaction Application Areas Internet and Web‐Based Applications Application Areas Society and Culture
机译: >当我们遇到一个新人时,我们首先介绍自己。我们分享我们的姓名,以及关于我们的工作,城市,家庭状况等的其他信息。这就是社交和社会互动如何开始:我们首先需要互相认同。识别是建立社会联系的基石。我们通过一套民用(例如,名称,国籍,身份证号码,性别)和社会(例如,音乐品味,爱好,宗教)特征来识别自己和他人。这在面对面互动中无缝进行的识别过程受到社交的虚拟领域的挑战,例如在线社交网络(OSN)平台。可以在不受任何验证水平的情况下创建新的身份(即,在线配置文件),使得易于创建虚假信息并伪造假身份。这导致了代表虚假身份(即,没有映射到物理上现有实体的账户的大规模扩散,并且在线社交环境具有假信息和恶意行为(例如,儿童虐待,信息窃取)。在此Milieu中,奥斯人的用户仍未武装识别屏幕后面真实人的具有挑战性的任务。 OSN提供商和研究机构对假冒OSN身份的行为和特征进行了专注的努力,试图找到检测它们的方法。其他一些研究举措探索了在OSN中启用身份验证的可能技术。两种方法都依赖于从OSN中提取知识,并利用它来实现其领域的识别管理。我们对文献中最突出的作品提供了审查。我们定义了问题,提供相关攻击的分类,并讨论OSNS中基于知识的身份管理的可用解决方案和方法。 > 本文分类为: 数据和知识的基本概念和人为中心和用户互动 应用领域&互联网和基于Web的应用程序 应用领域&社会和文化

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