基于计算机视觉的异构移动网络运行环境风险评估

Youngjun Kim, Namkyun Baik
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引用次数: 0

摘要

:为了从逻辑上对异构移动网络运行环境中的紧急风险进行优先排序,我们推导出能够反映异构网络运行环境特点的环境因素,并将其作为改进的安全风险评估公式。通过这个改进的风险评估公式得出的风险优先级可以利用计算机视觉直观地表达风险的严重程度。本研究的目的是推导出能反映各种异构网络运行环境的安全控制特性的环境因素,并将其应用到安全风险评估公式中,以确定紧急风险的优先级,并轻松识别安全风险的程度。在现有的风险评估公式中,风险是根据资产的重要性、脆弱性得分和威胁得分这三个指标来计算的。然而,现有的风险评估衍生出两个问题。首先,现有的风险评估公式不足以反映每个网络的受控环境特征,因为风险等级是根据单个资产计算的。其次,如果具有相同目的(相同设置)的相同系统在不同的异构网络运行环境中运行,它们会被计入相同的风险等级,无法快速确定行动的优先次序。为了解决这些问题,我们提出了一个称为环境因素(E)的指标,它是三个指数的组合。这三个指数分别是 "网络多样性指数(NDI)、网络区隔指数(ZSI)和控制水平指数(CLI)"。NDI 用数字表示网络的多样性。ZSI 用数字表示网络区域的复杂性。CLI 用数字表示网络控制水平的程度。研究结果表明,应用所提出的风险评估因子的风险评估公式可以快速识别紧急风险并迅速采取行动。在系统众多的异构移动网络运行环境中,通过建议的风险评估计算出的风险中真正紧急的风险将得到快速、合理的处理。
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Computer Vision-Based Risk Assessment on Heterogeneous Mobile Network Operating Environments
: In order to logically prioritize the urgent risks in the heterogeneous mobile network operating environment, we derive environmental factors that can reflect the characteristics of the heterogeneous network operating environment and present them as an improved security risk assessment formula. The prioritized risks derived through this improved risk assessment formula can visually express the severity of the risk by using computer vision. The purpose of this study was to derive environmental factors that can reflect the security control characteristics of various heterogeneous network operating environments and to apply them to security risk evaluation formulas to prioritize urgent risks and easily identify the degree of security risks. In the existing risk assessment formula, risk is calculated based on three indices: the importance of the asset, the vulnerability score, and the threat score. However, two problems were derived from the existing risk assessment. First, the existing risk assessment formula is insufficient to reflect the controlled environment characteristics of each network because the risk level is calculated based on individual assets. Second, if the same systems with the same purpose (same settings) are operated in different heterogeneous network operating environments, they are counted at the same risk level, and action cannot be prioritized quickly. To solve these problems, we propose an indicator called environmental factor ( E ), which is a combination of three indices. The three indices are "Network Diversity Index ( NDI ), network Zone Separation Index ( ZSI ) and Control Level Index ( CLI )". NDI expressed the diversity of networks numerically. ZSI is a numerical expression of the complexity of the network zone. CLI is a numerical expression of the degree of network control level. Results of the study showed that the risk assessment formula applying the proposed risk assessment factors can quickly identify urgent risks and act quickly. In heterogeneous mobile network operating environment in which numerous systems are operated, really urgent risks among the risks calculated through the proposed risk assessment will be handled quickly and logically.
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