乌克兰全球网络安全指数定性预测的趋势外推法

O. Polotai, Andrii Lagun, N. Kukharska, V. Samotyy
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引用次数: 1

摘要

本文考虑了乌克兰网络安全的研究问题和网络安全全球指数的构成要素。研究对象是基于单动态序列趋势外推法预测乌克兰网络安全全球指数指标的方法。这项工作的目的是应用预测方法来建立乌克兰全球网络安全指数的预测。该工作的任务是基于平均绝对增益构建全球网络安全指数预测,基于平均增长率构建全球网络安全指数预测,基于流动平均构建全球网络安全指数预测,评估每种方法的预测质量并相互比较以选择最佳方法。选择了一个指标来表征乌克兰的网络安全发展状况-全球网络安全指数,以及使用全球网络安全指标及其构建的所有组成部分和描述形式的特征。此外,乌克兰五年全球网络安全指数的不同数值是根据瑞士国际电信联盟(International Telecommunications Union)的官方报告得出的。根据2014-2018年的数据,对乌克兰2019年和2020年的全球网络安全指数进行了预测。采用简单趋势外推法的数据库对全球网络安全指数进行定性预测。该数据库包括基于平均绝对增益的趋势外推法、基于平均增长因子的趋势外推法、基于流动平均的趋势外推法。同时,采用事后预测的方法,对每种方法的结果进行定性和定量的比较,确定其中的最佳方法,并对得到的值和绘制的未来可能发生的事件图进行比较。所获得的结果使人们有理由希望乌克兰的全球网络安全指数有所改善,乌克兰的网络安全部门保持了现有的发展趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TREND EXTRAPOLATION METHOD FOR QUALITATIVE PROGNOSIS OF THE GLOBAL CYBERSECURITY INDEX IN UKRAINE
In the paper, the research problem of cybersecurity in Ukraine and constituent elements of the cybersecurity global index were considered. The study object is the methods of predicting the indicator of the cybersecurity global index in Ukraine based on the trend extrapolation methods using one dynamic sequence. The purpose of the work is to apply predicting methods to build a prediction of the global cybersecurity index in Ukraine. The tasks of the job are to build a global cybersecurity index prediction based on average absolute gain, building a prediction of global cybersecurity index based on the average growth rate, building a prediction of global cybersecurity index based on flowing average, assessing the quality of prediction of each method and comparing them with each other to choose the best one. There was selected an indicator to characterize the state of cybersecurity development in Ukraine - the Global Cybersecurity Index, and a feature of using the global cybersecurity indicator and all the components on which it is built and which form it was described. Also, different values for Ukraine's five-year global cybersecurity index were formed by using official reports generated by the International Telecommunications Union located in Switzerland. Based on data of 2014-2018 years global cybersecurity index projections in Ukraine for 2019 and 2020 years have been developed. The qualitative Global cybersecurity index predicting was considered using the database of simple trend extrapolation methods. This database includes the following methods: a trend extrapolation method based on the average absolute gain, a trend extrapolation method based on the average growth factor, a trend extrapolation method based on flowing average. Also, the method of ex-post predicating to qualitatively and quantitatively compare the results of each method and determine the best of them was implemented and obtained values and made a diagram of possible future events were compared. The obtained results give reason to hope for improvement of the global cybersecurity index in Ukraine, which maintains the provided existing trends in the development of the cybersecurity sector in the country.
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