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Security issues of cyber-physical systems 网络物理系统的安全问题
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2022-25-4-101-109
E. A. Kushko, Dmitrij A. Grachyov, Nikolaj Y. Parotkin, Vyacheslav V. Zolotaryov
Cyber-physical systems are increasingly being used in all industries. However, as the distribution of these systems grows, the number of attacks on them increases. The paper covers main cyber- hysical systems building technologies, implemented security measures, advantages, disadvantages and vulnerabilities of such systems. The authors also provide a general approach to ensuring cyber- hysical systems security.
信息物理系统越来越多地应用于所有行业。然而,随着这些系统分布的增长,针对它们的攻击数量也在增加。本文介绍了网络物理系统的主要构建技术、实施的安全措施、网络物理系统的优缺点和漏洞。作者还提供了确保网络物理系统安全的一般方法。
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引用次数: 0
Introduction to the problem of developing research competencies by students 介绍培养学生研究能力的问题
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2019-22-75-81
A. Buymov
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引用次数: 0
Development and study of PMSM nonlinear controllers providing quick response and electromagnetic torque accurate control 快速响应和电磁转矩精确控制的永磁同步电机非线性控制器的开发与研究
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2022-25-3-69-76
V. Zavyalov, D. Bevz
A permanent magnet synchronous motor electromagnetic torque control algorithms providing high dynamic performances based on the nonlinear automatic control theory were developed and studied. The new nonlinear control algorithm, called «differential control», that provides accurate torque control with a quick response, was developed. This algorithm is based on equality of controlled variable derivative sign and its error sign.
基于非线性自动控制理论,提出并研究了一种具有高动态性能的永磁同步电机电磁转矩控制算法。新的非线性控制算法,称为“差分控制”,提供准确的扭矩控制与快速响应,被开发。该算法基于被控变量导数符号及其误差符号的等式。
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引用次数: 0
Development of a Subsystem for Steganalysis of Digital Images Based on a Convolutional Neural Network to Detect and Prevent Attacks Using Hidden Steganographic Channels 基于卷积神经网络的数字图像隐写分析子系统的开发,以检测和防止使用隐写通道的攻击
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2021-24-2-29-33
E. Yandashevskaya
This article presents a way to implement the subsystem for steganalysis of digital images circulating in the information system. This subsystem expands the functionality of existing intrusion detection / prevention systems in terms of detecting covert channels used in computer attacks. In the presented solution, a parametric model of a convolutional neural network is proposed and implemented to detect a payload in digital images, performed by a number of steg-nesting algorithms recognized in real attacks. A software implementation of a modular generator of a training sample (dataset) that supports these algorithms has been developed. An experimental assessment of the accuracy has been carried out
本文提出了一种实现信息系统中数字图像隐写分析子系统的方法。该子系统在检测计算机攻击中使用的隐蔽通道方面扩展了现有入侵检测/防御系统的功能。在提出的解决方案中,提出并实现了卷积神经网络的参数模型来检测数字图像中的有效载荷,该模型由许多在真实攻击中识别的steg嵌套算法执行。已经开发了一个支持这些算法的训练样本(数据集)的模块化生成器的软件实现。对其精度进行了实验评估
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引用次数: 0
Method for determining the time of opening and freezing of the river by protected multispectral satellite data and measurements by the MODIS instrument 利用受保护的多光谱卫星数据和MODIS仪器测量确定河流开放和冻结时间的方法
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2021-25-1-101-106
M. Kataev, A. K. Lukyanov, P. Tkachenko
An observation of surface waters is of a great importance for environmental, hydrological research, as well as practical applications and for the Russian Ministry of Emergency Situations. This article deals with the issue of detection and monitoring of surface waters using optical remote sensing by the MODIS multispectral satellite instrument. The current status and problems in this area are briefly discussed. The water detection is based on an analysis of NDVI vegetation index values calculated from measurements throughout the year from a clear division by value of plant, snow or water index values. Based on this, a spatio-temporal mask of water objects or a mask is built, the pixels of which are only used to analyze the values of the vegetation index. Next, the graphs of spatiotemporal dynamics of water mask pixels and construct smoothed values are considered. The following step is related to the search in these dependencies for the moment of opening of the river from winter ice and freezing of the river. A description is given of the processing of real measurements for the territory of the Ob-Tom interfluve, in the region of the city of Tomsk.
对地表水的观测对环境、水文研究和实际应用以及对俄罗斯紧急情况部都非常重要。本文讨论了利用MODIS多光谱卫星仪器进行地表水光学遥感探测与监测的问题。简要论述了该领域的现状及存在的问题。水的探测是基于对全年测量计算的NDVI植被指数的分析,根据植物、雪或水指数值的明确划分。在此基础上,构建水样物的时空掩模或掩模,其像元仅用于分析植被指数值。其次,考虑了水掩膜像素的时空动态图和构造平滑值。接下来的步骤是在这些依赖关系中寻找冬季结冰和河流结冰时河流开放的时刻。描述了在托木斯克市地区的obb - tom干涉区域的实际测量处理。
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引用次数: 0
Software Architecture of the Distributed System for Transport Monitoring and Control 分布式交通监控系统的软件体系结构
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2021-24-2-64-68
A. O. Igumnov
The features of some systems for transport monitoring and control are considered. A technique to build a unified platform is proposed. The functional modules of general purpose that could be used to build the platform are given. The interface of intermodular interaction is described, which ensures the compliance with principles of building distributed systems
考虑了一些运输监控系统的特点。提出了一种建立统一平台的技术。给出了构建该平台的通用功能模块。描述了模块间交互的接口,保证了构建分布式系统的原则
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引用次数: 0
Using of the Digital Communication Interface CAN to Provide Parallel Operation of Converters 利用数字通信接口CAN实现变换器并联工作
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2019-22-4-102-108
S. V. Klassen, T. S. Klassen, S. V. Luft, S. Kharitonov, A. Volkov
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引用次数: 0
Knowledge base of the expert system for cyber security threat modeling 网络安全威胁建模专家系统知识库
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2021-25-1-61-69
D. S. Milko, A. Daneev, A. L. Gorbylev
The appraisal of cyber security threats is necessary to create of the cyber security threat model. The results of appraisal shall apply for choosing information security measures. In February 2021, the new methodical document issued by the Russian Federal Service for export control of engineering technologies has gone into effect, and is obligatory to follow by all organizations. The paper presents the approach to ensure the automation of irrelevant cyber security threats ejection. The automation is done by developing the expert system. The knowledge base of expert system is created, and the methodology for its creating is described in the paper. The key terms for the expert system are worded. The flow chart of expert system is shown. The experimental results of knowledge base launching in manual mode are given. A part of the paper is devoted to a justification for choosing the expert system as an automatization method. The expert systems are compared to a «smarter» artificial intelligence method (artificial neural networks). As a result, the conclusions about efficiency of produced knowledge base are provided and the necessity of creating a more user friendly interface and rule engine is made evident.
对网络安全威胁进行评估是建立网络安全威胁模型的必要条件。评估结果适用于信息安全措施的选择。2021年2月,俄罗斯联邦服务局发布的关于工程技术出口管制的新系统文件生效,所有组织都必须遵守。本文提出了一种确保无关网络安全威胁排除自动化的方法。自动化是通过开发专家系统实现的。建立了专家系统知识库,阐述了建立专家系统知识库的方法。对专家系统的关键术语进行了表述。给出了专家系统的流程图。给出了手动启动知识库的实验结果。论文的一部分专门讨论了选择专家系统作为自动化方法的理由。专家系统被比作“更智能”的人工智能方法(人工神经网络)。最后给出了知识库效率的结论,并指出了开发更友好的界面和规则引擎的必要性。
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引用次数: 0
Adjusting robust neural networks for solving the classification problem 调整鲁棒神经网络解决分类问题
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2021-24-3-26-32
M. A. Sivak, V. Timofeev
The paper highlights the problem of building and adjusting robust neural networks applying different loss functions for solving the classification problem. The considered functions are those of Cauchy, Meshalkin, Geman-McCluer, Charbonnier and Tukey’s Biweight losses. The accuracy of classification is examined for the different values of outliers’ fraction, for several values of learning epochs count and for datasets with various sizes. For all obtained networks the parameter values that maximize the accuracy, are defined. The best practices for choosing the parameter values depending on epoch count are also defined for all the loss functions. The ordinary neural network (with quadratic loss) and the robust neural network applying the Huber loss are also considered. The analysis of the results shows that the use of robust approach can significantly increase the learning rate and the classification accuracy, however, choosing the incorrect parameter value can decrease the accuracy of classification.
本文重点研究了应用不同损失函数构建和调整鲁棒神经网络来解决分类问题的问题。所考虑的函数是Cauchy, Meshalkin, Geman-McCluer, Charbonnier和Tukey 's Biweight loss的函数。对于所有得到的网络,定义了使精度最大化的参数值。根据epoch计数选择参数值的最佳实践也为所有损失函数定义了。同时考虑了具有二次损失的普通神经网络和具有Huber损失的鲁棒神经网络。结果分析表明,采用鲁棒方法可以显著提高学习率和分类准确率,但选择不正确的参数值会降低分类准确率。
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引用次数: 0
Energy-converting equipment of high-voltage spacecraft power supply systems with a digital control system 带数字控制系统的航天器高压供电系统能量转换装置
Pub Date : 1900-01-01 DOI: 10.21293/1818-0442-2021-25-1-123-128
M. Sukhorukov
The article presents the results of experimental studies of the experimental and known characteristics of the energyconverting equipment (EPA) of the supply system (EPS) of a spacecraft (SC) with a digital control system. The obtained results of experimental studies confirm the theoretical results obtained earlier in the development of a digital control system for the ESA of the EPS of the spacecraft.
本文介绍了采用数字控制系统的航天器供电系统(EPS)能量转换设备(EPA)的实验特性和已知特性的实验研究结果。实验研究的结果证实了早先在研制航天器EPS ESA数字控制系统时所得到的理论结果。
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引用次数: 0
期刊
Proceedings of Tomsk State University of Control Systems and Radioelectronics
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