Modeling anomalous attention over an online social network through read/post analytics

机译：通过读取/发布分析对在线社交网络上的异常注意力进行建模

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Online social platforms revolutionarize the way in which people communicate, shattering physical boundaries and bringing people together in the virtual environment. While users are able to access information and share knowledge with unprecedented ease and openness, danger also lurks in the dark. Social networks have the potential to draw unwanted and anomalous attention to their users. Through online social networks, the daily routines of an individual may be under constant surveillance of others. Such risks are closely associated with information leakage, and have posed serious privacy and safety concerns. This paper investigates such risks, which are typically captured by excessive, unprecedented and persistent gathering of personal information through the cyberspace. We focus on ways to mitigate such risks through formalizing the concepts of anomalous attention. This is a challenging question, as such behaviors are usually victim-defined and often occurs without visible trace. Viewing a network as interconnected nodes who exchange information through posting and reading messages, we provide an abstract model of attention, and quantify the level of attention a user pays towards another. Analyzing the sequence of attention between pairs of users in the network allow one to capture anomalous activities.

机译：在线社交平台彻底改变了人们交流的方式，打破了物理界限，将人们聚集在虚拟环境中。尽管用户能够以前所未有的便捷性和开放性来访问信息并共享知识，但危险也潜伏在黑暗中。社交网络有可能吸引他们的用户不必要的异常关注。通过在线社交网络，一个人的日常活动可能会受到他人的不断监视。此类风险与信息泄漏密切相关，并带来了严重的隐私和安全问题。本文研究了此类风险，这些风险通常是通过网络空间过度，空前和持续收集个人信息而捕获的。我们专注于通过形式化异常关注的概念来减轻此类风险的方法。这是一个具有挑战性的问题，因为此类行为通常是受害人定义的，并且经常发生而没有可见的痕迹。将网络视为互连的节点，它们通过发布和阅读消息来交换信息，我们提供了一种抽象的关注模型，并量化了用户对另一个用户的关注程度。分析网络中成对的用户之间的注意顺序，可以捕获异常活动。

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《2017 International Conference on Security, Pattern Analysis, and Cybernetics》|2017年|146-151|共6页
会议地点 Shenzhen(CN)
作者
Zijian Zhang; Jiamou Liu;
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作者单位

School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;

The University of Auckland, Private Bag 92019, Auckland, New Zealand Telephone: (64) 9 923 9528;

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会议组织
原文格式 PDF
正文语种 eng
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关键词
Social network services; Security; Analytical models; Surveillance; Privacy; Cyberspace;

机译：社交网络服务;安全性;分析模型;监视;隐私;网络空间;;

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4. Modeling anomalous attention over an online social network through read/post analytics [C] . Zijian Zhang, Jiamou Liu International Conference on Security, Pattern Analysis, and Cybernetics . 2017

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5. Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics [D] . Ruan, Yiye 2015

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Modeling anomalous attention over an online social network through read/post analytics

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