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Assessing the Degree of the Social Media User's Openness Using an Expert Model Based on the Bayesian Network

机译：使用基于贝叶斯网络的专家模型评估社交媒体用户的开放程度

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摘要

One of the most topical problems of information security is the prevention of successful incidents of social engineering attacks - psychological manipulation of people to get access to confidential information. It is necessary to assess personal characteristics of an information system user to estimate his vulnerability to some type of attack. Assessment the degree of openness of a social media user is perspective this way (openness is considered according to the factor of “openness to experience”, which is part of the personality model “The Big Five”). In this paper, we consider an approach to assessing the openness of an online social network user using the bayesian network. Based on the five-factor personality questionnaire, the characteristics that can be extracted from the user's page, potentially affecting his openness to accepting information, are considered. The structure of the Bayesian network for solving this problem is proposed.
机译：信息安全最局部问题之一是预防社会工程攻击成功事件 - 人们获得机密信息的心理操纵。 有必要评估信息系统用户的个人特征，以估计他对某种类型的攻击的脆弱性。 评估社交媒体用户的开放程度是以这种方式（根据“开放性的因素）的透视，这是一个人格模型”大五“的一部分。 在本文中，我们考虑使用贝叶斯网络评估在线社交网络用户的开放性的方法。 基于五因素人格问卷，考虑了可以从用户页面中提取的特征，可能会影响其接受信息的开放性。 提出了解决这个问题的贝叶斯网络的结构。

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