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Analysis of Facebook Friends Using Disclosure Level

机译:使用披露水平分析Facebook朋友

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摘要

Social Networking Services (SNSes), such as Facebook and Twitter, provide a communication platform that easily communicates with a family, close friends, acquaintances and strangers. On the other hands, SNS users often unintentionally post a message on SNSes, including one's own sensitive information, and is revealed to other users. As a result, an SNS user can lose friend, or even a job. Moreover offhand posts can result in unforeseen problems. In order to prevent privacy leaks to SNSes, we defined an objective classification-table of invasion of privacy for SNSes that will be based on classification according to contents of information, which should be kept private, and disclosure level. We also proposed a method that uses the classification table to provide settings for access control that prevent privacy leaks. In this paper, as a realization of this method, we developed a prototype system that adaptive disclosure control system on Facebook based on detection of sensitive information leaks and friends classified according to the disclosure level.
机译:社交网络服务(SNSES),如Facebook和Twitter,提供了一个通信平台,可容易地与家庭,亲密的朋友,熟人和陌生人沟通。另一方面,SNS用户经常无意中发布SNSE的消息,包括一个人自己的敏感信息,并被揭示给其他用户。结果,SNS用户可能会失去朋友,甚至是一份工作。此外,从事帖子可能导致无法预料的问题。为了防止隐私泄露给SNSES,我们定义了一个客观分类表,为SNSES的隐私入侵,这将根据信息的内容根据分类,应保密,披露水平。我们还提出了一种使用分类表的方法来提供阻止隐私泄漏的访问控制的设置。在本文中,作为这种方法的实现,我们开发了一种原型系统,该原型系统根据敏感信息泄漏和根据公开级别分类的敏感信息泄漏和朋友进行自适应披露控制系统。

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