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Determining Predisposition to Insider Threat Activities by using Text Analysis

机译：通过使用文本分析确定内部威胁活动的倾向

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摘要

Insider threats are difficult to deal with because employees in any organization have a certain level of access to the company's secure network which bypasses the external security measures such as firewalls that have been put in place to protect the organization. The goal of this paper is to design and implement a predictive model which uses linguistic analysis as well as K-means to determine an employee's risk level computer-mediated communication specifically emails and related social networking. Computer-mediated communication (CMC) is a form of communication over virtual spaces where users cannot see each other's face. CMC includes email and communication over social networks, amongst others. This will be accomplished by determining whether or not employees meet certain personality criteria which establish how much of a risk they pose to their employers. In this study, various datasets are used including a real-world case study as a test bed for designed algorithm and tested results.
机译：内幕威胁难以应对，因为任何组织中的员工都有一定程度的访问权限，该公司的安全网络绕过了外部安全措施，例如已经到位以保护本组织的防火墙。本文的目标是设计和实施一种预测模型，它使用语言分析以及K-mease来确定员工的风险级别计算机导通的通信，特别是电子邮件和相关的社交网络。计算机介导的通信（CMC）是一种在虚拟空间上的通信形式，用户无法看到彼此的脸部。 CMC包括通过社交网络的电子邮件和沟通，其中包括其他人。这将通过确定员工是否符合某些人格标准来实现，这些人格标准确定他们对雇主带来了多少风险。在本研究中，使用各种数据集包括作为设计算法的测试床和测试结果的真实案例研究。

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