Development of a New Approach to the Problem of Detecting the Integrity Violations of a Digital Image

IF 0.3 Q4 ENERGY & FUELS Problemele Energeticii Regionale Pub Date : 2023-08-01 DOI:10.52254/1857-0070.2023.3-59.10
I. Bobok, A. Kobozeva
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Abstract

The energy sector is an integral part of the critical infrastructure of any state and is particularly sensitive to the quality of information security systems. Due to the diversity of activities of various organizations in the energy industry, almost all threats to information security are relevant to them, in particular, unauthorized changes in information content. The aim of the work is to develop the new approach to the examination of the integrity of images, which will provide the possibility of building universal methods for detecting its violations, effective regardless of the strength and type of influences that change them. The aim was achieved by: introducing the concept of “frequency index” for the singular vector of the image matrix, and study of the properties of the dependence of the frequency index of a singular vector on its number. The most important result of the work is the almost constant rate of increase the trend of the studied function, which results in the linearity of the frequency index of singular vectors for digital images, the integrity of which is not violated. This characteristic is sensitive to any changes in the image matrix. The significance of the obtained result lies in the fact that the use of the established properties for the function of the dependence of the frequency index of singular vectors on its number makes it possible to develop universal integrity examination methods that are effective regardless of the strength and type of disturbances that violated the integrity of the image.
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一种检测数字图像完整性违规问题的新方法的开发
能源部门是任何国家关键基础设施的组成部分,对信息安全系统的质量特别敏感。由于能源行业各组织活动的多样性,几乎所有对信息安全的威胁都与它们有关,特别是信息内容的未经授权的更改。这项工作的目的是开发一种新的方法来检查图像的完整性,这将为建立检测其违规行为的通用方法提供可能性,无论影响的强度和类型如何,都是有效的。通过引入图像矩阵奇异向量的“频率指数”概念,研究奇异向量的频率指数与其个数的相关性,达到了这一目的。这项工作最重要的结果是所研究的函数的趋势几乎恒定的增长率,这导致了数字图像奇异矢量的频率指数的线性,其完整性不受侵犯。该特性对图像矩阵中的任何变化都是敏感的。所获得的结果的意义在于,使用奇异向量的频率指数对其数量的依赖性函数的既定性质,可以开发出通用的完整性检查方法,无论破坏图像完整性的干扰的强度和类型如何,这些方法都是有效的。
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
38
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