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Axioms for vulnerability measurement of online social network profiles

机译:在线社交网络配置文件漏洞度量的公理

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The increase in online social network (OSN) usage has led to personal details known as attributes being readily displayed in online profiles. This can lead to the profile owners being vulnerable to social engineering attacks. Our vulnerability model is based upon a way to quantify the vulnerability of a profile and consists of three components. The individual vulnerability is determined by the presence of values for the profile attributes which may contribute towards the composite personal vulnerability via a weight based system. The relative vulnerability indicates the contribution of collective vulnerability of the profile's friends, whereas the absolute vulnerability is the overall composite vulnerability for the profile by considering the contributions of the individual and relative vulnerabilities. In this paper we introduce a set of axioms on probability dependent effect of profile attributes and probability change for OSN profiles. The research offers a formal background for future work on estimating how attribute changes for an OSN profile influence the individual vulnerability of the profile and validating this composite model.
机译:在线社交网络(OSN)使用量的增加已导致在个人资料中轻松显示称为属性的个人详细信息。这可能导致配置文件所有者易受社会工程攻击。我们的漏洞模型基于一种量化配置文件漏洞的方法,由三个部分组成。个人漏洞取决于配置文件属性值的存在,这些值可能通过基于权重的系统对复合个人漏洞做出贡献。相对漏洞表示个人资料的朋友的集体漏洞的贡献,而绝对漏洞是考虑个人漏洞和相对漏洞的贡献的个人资料的整体综合漏洞。在本文中,我们介绍了一组关于轮廓属性的概率依赖性影响以及OSN轮廓的概率变化的公理。该研究为评估OSN配置文件的属性更改如何影响配置文件的个体漏洞并验证此复合模型提供了正式的背景资料。

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