社交网络上的隐私保护:新的政策和方法

Fatna Elmendili, Anas Moustir, Y. Idrissi
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引用次数: 2

摘要

多亏了在线社交网络服务,如Facebook, Twitter, YouTube等....,通过为用户提供免费开放的平台,用户有机会轻松交流,而不受限制。由于它们在用户之间传播信息的关键作用,这些平台已经成为日常生活中不可或缺的一部分。隐私和安全是许多社交媒体用户最关心的问题。当用户与朋友分享信息(如数据、照片等....)时,他们并不总是安全的;他们可以使他们的朋友容易成为恶意用户攻击的目标,这些恶意用户尝试用多种方法访问他们的个人数据。不幸的是,随着用户社交网络的不断扩大,隐私设置本身往往不足以保护用户的个人资料。在本文中,我们提出了一种新的方法来限制垃圾内容和恶意配置文件在社交网络中的传播和传播。另一种方法是,禁止自动机器人创建恶意配置文件,以及在社交网络上发布垃圾内容时伪造身份。考虑到在使用在线社交网络服务时,用户信任他们处理自己的信息;我看到了不能忽视这一部分的必要性;而是要做出一系列改变,与我们加强对这些平台用户个人数据保护的建议相一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy preserving on social networks: new Policies and approaches
Thanks to online social networks services such as Facebook, Twitter, YouTube, etc...., users have the opportunity to communicate easily without constraints by providing them with free and open platforms. Because of their crucial role in spreading information between users, these platforms have become an integral part of everyday life. Privacy and security are major concerns for many social media users. When users share information (such as data, photos etc....) with their friends, they are not always safe; they can make their friends easy targets attacked by malicious users who try with multiple methods to access their personal data. Unfortunately, with the continued expansion of a user's social network, privacy settings alone are often insufficient to protect the user's profile. In this paper, we have proposed a new approach to limit the spread and dissemination of spam content and malicious profiles in social networks. In another way, prohibit the creation of malicious profiles by automated robots as well as the falsification of identity when publishing spam content in social networks. Given that when using online social networking services, users trust them to process their information; have seen that it is necessary not to neglect this part; but rather to make a set of changes that will be consistent with our proposal to strengthen the protection of personal data of users of these platforms.
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