How Stakeholders Perceived Security Risks? A New Predictive Functional Level Model and its Application to E-Learning

N. Rjaibi, Latifa Ben Arfa Rabai
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Abstract

A new predictive functional level security risk management model is proposed in order to quantify the security level perception and the level of risk involved. It helps in defining the assets, measuring economically the risk, managing the risk toward decisions making. It is out of implementation and based on a functional level architecture. The paper defines a simple predictive model, it relies on a few number of inputs which form the system’s security specifications and provides one output which is the average loss per unit of time ($/H) incurred by a stakeholder as a result of security threats. The obtained values represent how stakeholders perceived economically security risks and predict how it will change over time to implement in advance the needed security strategies. Our model is useful in any security context. We report it in practice originally to the level of e-Learning systems for current architectures because they lack a common measurable value and evidence of cyber security. Our model assists security experts from the early phases of system’s development to implement future safe and secure platforms.
利益相关者如何感知安全风险?一种新的预测功能层模型及其在网络学习中的应用
为了量化安全级别感知和风险级别,提出了一种新的预测功能级安全风险管理模型。它有助于定义资产,经济地衡量风险,管理决策中的风险。它脱离了实现,基于功能级体系结构。本文定义了一个简单的预测模型,它依赖于形成系统安全规范的几个输入,并提供一个输出,即利益相关者因安全威胁而导致的每单位时间的平均损失($/H)。获得的值表示利益相关者如何感知经济安全风险,并预测它将如何随着时间的推移而变化,从而提前实现所需的安全策略。我们的模型在任何安全上下文中都很有用。我们在实践中最初将其报告为当前架构的电子学习系统级别,因为它们缺乏共同的可测量值和网络安全证据。我们的模型帮助安全专家在系统开发的早期阶段实现未来安全可靠的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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