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首页> 外文会议>Annual Global Online Conference on Information and Computer Technology >A Privacy Preserving Context-Aware Insider Threat Prediction and Prevention Model Predicated on the Components of the Fraud Diamond
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A Privacy Preserving Context-Aware Insider Threat Prediction and Prevention Model Predicated on the Components of the Fraud Diamond

机译：基于欺诈钻石组成部分的隐私保护上下文感知内部威胁预测和预防模型

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摘要

This paper presents a novel, interdisciplinary insider threat prediction and prevention model which combines several approaches, techniques and tools from computer science, criminology and psychology. It is based on the fraud diamond which comprises four components: pressure (i.e. motive), opportunity, capability and rationalisation. In general, it has been found that a criminal must have the motive and opportunity to commit a crime. However, the criminal must also have the capability to commit crime particularly in the cybercrime domain. Furthermore, criminals tend to rationalise (i.e. excuse) their crimes. The model presented here involves leveraging the fraud diamond to predict and prevent insider threats. Typically insider threat prediction and prevention models tend to overlook the privacy concerns of insiders. Hence the deployment of the model involves gathering information about the insider's possible intent within a privacy-preserving context. This will help to identify high risk insider threats while balancing privacy concerns.
机译：本文提出了一种新颖的，跨学科的内部威胁预测和预防模型，该模型结合了计算机科学，犯罪学和心理学的几种方法，技术和工具。它基于欺诈钻石，其中包含四个组成部分：压力（即动机），机会，能力和合理化。总的来说，已经发现罪犯必须有犯罪动机和机会。但是，罪犯还必须具有犯罪的能力，尤其是在网络犯罪领域。此外，犯罪分子倾向于使犯罪合理化（即辩解）。这里介绍的模型涉及利用欺诈钻石来预测和预防内部威胁。通常，内部人威胁预测和预防模型往往会忽略内部人的隐私问题。因此，模型的部署涉及在隐私保护上下文中收集有关内部人员可能意图的信息。这将有助于识别高风险内部威胁，同时平衡隐私问题。

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