基于概率确定的社交网络隐私信任模型

Preeti Yadav, Savita Gupta, S. Venkatesan
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引用次数: 2

摘要

随着科技的进步,这个互联网时代见证了社交网站的蓬勃发展。社交网站为用户提供了分享个人信息、交友、发展新关系、产生新的隐私问题等功能,只允许可靠的人进入自己的网络。这就是“信任”的概念。我们如何确保一个人是值得信赖的,以及哪些因素可以在两个人之间建立信任,无论他们彼此认识还是不认识?这需要对用户分享信息的意图进行探索性的洞察。本文旨在了解信任的影响因素,基于他人信任评级的信任水平以及在其网络中接受他人的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust model for privacy in social networking using probabilistic determination
With the advancement in the technology, this era of Internet has witnessed a bloom in the Social Networking sites popularity. Social Networking sites facilitate the users with features like sharing personal information, making friends, developing new relationships, giving rise to new privacy concerns, etc., allowing only reliable people in one's network. Here comes in the concept of `Trust'. How can we assure that a person is trustworthy and what factors account to build the trust between two persons, known or unknown to each other? This requires an exploratory insight into users' intention to share information. This paper aims to understand the factors of trust, trust levels based on trust ratings from others and probability of accepting the other person in his/her network.
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