Suchasni informatsiini sistemi最新文献_第8页

DEVELOPMENT OF THE DOUBLE-CONTOUR PROTECTION CONCEPT IN SOCIO-CYBERPHYSICAL SYSTEMS 社会物理系统中双重保护概念的发展

Suchasni informatsiini sistemi Pub Date : 2022-07-14 DOI: 10.20998/2522-9052.2022.2.10

S. Pohasii, S. Milevskyi, B. Tomashevsky, N.A. Voropay

{"title":"DEVELOPMENT OF THE DOUBLE-CONTOUR PROTECTION CONCEPT IN SOCIO-CYBERPHYSICAL SYSTEMS","authors":"S. Pohasii, S. Milevskyi, B. Tomashevsky, N.A. Voropay","doi":"10.20998/2522-9052.2022.2.10","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.2.10","url":null,"abstract":"The rapid development of mobile Internet technologies LTE (Long-Term Evolution) not only predetermined the further development of cyber-physical systems, which are based on the synthesis of technologies of classical computer systems and LTE technologies, as well as integration with Internet-of-Things technologies. As a result, the emergence of sociocyberphysical systems predetermines further development based on this integration. The creation of mesh- and sensor networks also allows the development of smart technologies and systems based on their conglomeration. The development and creation of a quantum computer, on the one hand, will make it possible to make a technical breakthrough in computing resources, use artificial intelligence, and on the other hand, it can lead to “chaos” in ensuring the security of modern technologies and systems. So, based on the algorithms of Shor and Grover quantum cryptography, symmetric cryptosystems based on traditional cryptography algorithms, as well as asymmetric cryptosystems, including systems based on elliptic curve cryptography, can be broken. The paper proposes to use a new approach to building security systems based on the concept of internal and external security contours. At the same time, security contours of continuous business processes are considered. This approach provides an objective assessment of the current state of security of the socio-cyber system as a whole.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43529066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE 基于BOOSTING集成的计算机系统状态识别方法

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.02

V. Chelak, S. Gavrylenko

{"title":"METHOD OF COMPUTER SYSTEM STATE IDENTIFICATION BASED ON BOOSTING ENSEMBLE WITH SPECIAL PREPROCESSING PROCEDURE","authors":"V. Chelak, S. Gavrylenko","doi":"10.20998/2522-9052.2022.1.02","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.02","url":null,"abstract":"The subject of the research is methods of identifying the state of the Computer System. The object of research is the process of identifying the state of a computer system for information protection. The aim of the research is to develop the method for identifying the state of a computer system for information protection. This article is devoted to the development of method (boosting ensemble) to increase the accuracy of detecting anomalies in computer systems. Methods used: artificial intelligence methods, machine learning, decision tree methods, ensemble methods. The results were obtained: a method of computer system identification based on boosting ensemble with special preprocessing procedure is developed. The effectiveness of using machine learning technology to identify the state of a computer system has been studied. Experimental researches have confirmed the effectiveness of the proposed method, which makes it possible to recommend it for practical use in order to improve the accuracy of identifying the state of the computer system. Conclusions. According to the results of the research, ensemble classifier of computer system state identification based on boosting was proposed. It was found that the use of the proposed classifier makes it possible to reduce the variance to 10%. In addition, due to the optimization of the initial data, the efficiency of identifying the state of the computer was increased. Prospects for further research may be to develop an ensemble of fuzzy decision trees based on the proposed method, optimizing their software implementation.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49370332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

PROCESS OF 3D PRINTING IN ONLINE EDUCATION 3d打印在在线教育中的应用过程

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.18

Nataliia Haidar, Ganna Zavolodko, P. Pustovoitov

{"title":"PROCESS OF 3D PRINTING IN ONLINE EDUCATION","authors":"Nataliia Haidar, Ganna Zavolodko, P. Pustovoitov","doi":"10.20998/2522-9052.2022.1.18","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.18","url":null,"abstract":"The subject of the review is methodology of the subsystem verification and printing 3 D -model online learning system mixed type. To do this, a review of analogues, technologies, stages of printing were identified. Due to the development of technology, the educational process is being transformed. Education uses blended learning, part of which is distance learning. The object of research is use of additive technologies, which can make the learning process more motivating. Thus, if in distance education there is an opportunity to develop a 3D model online, check it for fidelity, send the model to print, it optimizes the learning process. The aim is to design with IP topics that uses the additive technologies in the educational process. Methods used: IDEF- diagram describing the function of the system; authentication rules, verification of 3 D models, sending the model to print, selecting a device online, and basic screen forms. Conclusions. The development of innovative thinking in higher education students should become a priority of modern higher education, and the introduction of new elements in modern education is inevitable. And given the development of 3D printing technologies, additive technologies are the most promising for the use of visualization in online and mixed teaching.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41983772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MULTIAGENT METHODS OF MANAGEMENT OF DISTRIBUTED COMPUTING IN HYBRID CLUSTERS 混合集群中分布式计算管理的多智能体方法

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.05

V. Kolumbet, O. Svynchuk

{"title":"MULTIAGENT METHODS OF MANAGEMENT OF DISTRIBUTED COMPUTING IN HYBRID CLUSTERS","authors":"V. Kolumbet, O. Svynchuk","doi":"10.20998/2522-9052.2022.1.05","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.05","url":null,"abstract":"Modern information technologies include the use of server systems, virtualization technologies, communication tools for distributed computing and development of software and hardware solutions of data processing and storage centers, the most effective of such complexes for managing heterogeneous computing resources are hybrid GRID- distributed computing infrastructure combines resources of different types with collective access to these resources for and sharing shared resources. The article considers a multi-agent system that provides integration of the computational management approach for a cluster Grid system of computational type, the nodes of which have a complex hybrid structure. The hybrid cluster includes computing modules that support different parallel programming technologies and differ in their computational characteristics. The novelty and practical significance of the methods and tools presented in the article are a significant increase in the functionality of the Grid cluster computing management system for the distribution and division of Grid resources at different levels of tasks, the ability to embed intelligent computing management tools in problem-oriented applications. The use of multi-agent systems for task planning in Grid systems will solve two main problems - scalability and adaptability. The methods and techniques used today do not sufficiently provide solutions to these complex problems. Thus, the scientific task of improving the effectiveness of methods and tools for managing problem-oriented distributed computing in a cluster Grid system, integrated with traditional meta-planners and local resource managers of Grid nodes, corresponding to trends in the concept of scalability and adaptability.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48428838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Application of multi-component data model for class descriptions in the image classification problem 多分量数据模型在图像分类问题中的应用

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.01

V. Gorokhovatskyi, N. Stiahlyk, Oleksii Zhadan

{"title":"Application of multi-component data model for class descriptions in the image classification problem","authors":"V. Gorokhovatskyi, N. Stiahlyk, Oleksii Zhadan","doi":"10.20998/2522-9052.2022.1.01","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.01","url":null,"abstract":"The subject of research of the article is the methods of image classification according to the set of descriptors of key points in computer vision systems. The aim is to increase the efficiency of classification by introducing a multicomponent data model on a set of descriptors for the base of reference images. Applied methods: ORB detector and descriptors, apparatus of set theory and vector space, metric models for determining the relevance of sets of multidimensional vectors, elements of probability theory, software modeling. Results are obtained: a modified method of image classification based on the introduction of a multicomponent model for data analysis with a system of centers is developed, methods of constructing a set of data centers are identified, the most effective is the set medoid and centers based on it. The effectiveness of the modification significantly depends on the method of forming the centers, the applied classification model, as well as on the data itself. The best results were shown by the classification with the integrated indicator separately for each of the standards in the form of the sum of the values of the distributions for the set of centers; experimentally tested the effectiveness of the classification, confirmed the efficiency of the proposed method. The practical significance of the work is the construction of classification models in the transformed data space, confirmation of the efficiency of the proposed modifications on the examples of images, the creation of software for the implementation of developed classification methods in computer vision systems.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46549611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asymptotic behavior of an optimal control system with two small singularly excitatory parameters 具有两个小奇异激励参数的最优控制系统的渐近行为

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.06

Yevhen Kalinin, D. Lysytsia, A. Nechausov, Heorhii Krykhovetskyi

{"title":"Asymptotic behavior of an optimal control system with two small singularly excitatory parameters","authors":"Yevhen Kalinin, D. Lysytsia, A. Nechausov, Heorhii Krykhovetskyi","doi":"10.20998/2522-9052.2022.1.06","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.06","url":null,"abstract":"The subject of research in the article is dynamic control systems with optimal slow motions. The goal of the work is to obtain an asymptotic approximation of the control in the form of feedback, which, not being uniform in the domain of the system definition, forms slow motions of the system uniformly close to optimal ones. The objectives of the study are to conduct an asymptotic analysis of the controller for small values of the parameters. Applied methods: methods of minimization of quadratic functions and methods of matrix algebra. The obtained results: the problem of the optimal equation with two small singularly exciting parameters is considered. Requirements for the characteristics and controllability of the selected system have been introduced. The problem under consideration, in contrast to well-known studies, is connected with a fundamental problem: as the system parameters tend to zero, certain components of the matrix that satisfies the Ricatti equation, due to the limiting condition for it, acquire singularities in certain time intervals. The practical significance of the work lies in the fact that with the use of minimization methods, general methods are obtained for constructing a uniform region of asymptotics for optimal control systems with two small singular-exciting parameters with respect to another small parameter.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42097653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Information technology for confirming property rights to digital images 确认数字图像产权的信息技术

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.19

Igor Ruban, Nataliia Bolohova, V. Martovytskyi

{"title":"Information technology for confirming property rights to digital images","authors":"Igor Ruban, Nataliia Bolohova, V. Martovytskyi","doi":"10.20998/2522-9052.2022.1.19","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.19","url":null,"abstract":"In the modern world, the image is becoming a more powerful means of communication. In the era of digitalization, people can express their thoughts, feelings, and more through images. The main difficulty of the author is always how to prove his authorship. Therefore, the development of the latest technologies for confirming authorship of digital images is relevant. The object of the study is the process of confirming the fact of the right to own a digital image. The subject of the study is the information technology of proof of authorship for digital images. Taking into account modern trends and results of using blockchain for copyright protection, this paper proposes an information technology for confirming ownership of digital images based on blockchain technology and digital watermarks to provide a reliable guarantee of copyright establishment. Proposed digital image ownership information technology using digital watermarking, blockchain, image hash function and IPFS to create a brand new decentralized ownership verification technology in the digital age of the Internet. As far as file types are concerned, this article only mentions digital image copyright management. In the future, the technology could be extended to include audio, video, and other types of media files to create a single system for verifying ownership of any digital content.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49349689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent UAV Spoofing Detection Method 智能无人机欺骗检测方法

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.15

D. Voloshyn, Serhii Bulba

{"title":"Intelligent UAV Spoofing Detection Method","authors":"D. Voloshyn, Serhii Bulba","doi":"10.20998/2522-9052.2022.1.15","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.15","url":null,"abstract":"The paper presents an intelligent method for detecting UAV spoofing. A distinctive feature of the method is the use of subtrajectory calculation technology based on visual odometry subtrajectories and GPS positions in a sliding window, taking into account the intelligent estimation of the optical flow and the formation of UAV “Ego-movement” descriptors. In the course of the study, an analysis and comparative studies of a wide range of UAV spoofing methods were carried out, the most frequently recommended and practically used methods were identified. The conclusion is made about the relevance of the problems of GPS spoofing. The analysis of methods of protection against UAV GPS spoofing has been carried out. Promising directions for intelligent detection of UAV spoofing using methods and means of visual odometry are identified. In the course of studying methods for fixing input data, an approach was proposed for estimating the optical flow using a sliding window. At the same time, the need for intelligent processing of input data is argued. The estimation of the optical flow and the formation of descriptors was carried out using recurrent convolutional neural networks. As a result, a block diagram of the UAV spoofing detection method was developed. This allowed us to study the developed method. The results of the experiment for two spoofing scenarios showed the efficiency of estimating the positions of at least two of the three indicators under the conditions of using sliding windows of size 15 or more, with a time delay of half the window size.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46497879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SEMI-MARKOV RELIABILITY MODELS 半马尔可夫可靠性模型

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.12

L. Raskin, Iaroslav Sviatkin, Yuriy Ivanchikhin, R. Korsun

{"title":"SEMI-MARKOV RELIABILITY MODELS","authors":"L. Raskin, Iaroslav Sviatkin, Yuriy Ivanchikhin, R. Korsun","doi":"10.20998/2522-9052.2022.1.12","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.12","url":null,"abstract":"Traditional technologies for reliability analysis of semi-Markov systems are limited to obtaining a stationary state probability distribution. However, when solving practical control problems in such systems, the study of transient processes is of considerable interest. This implies the subject of research - the analysis of the laws of distribution of the system states probabilities. The goal of the work is to obtain the desired distribution at any time. The complexity of the problem solving is determined by the need to obtain a result for arbitrary distribution laws of the duration of the system's stay in each state before leaving. An easy-to-implement method for the analysis of semi-Markov reliability models has been suggested. The method is based on the possibility of approximating probability-theoretic descriptions of failure and recovery flows in the system using the Erlang distribution laws of the proper order. The developed computational scheme uses the most important property of Erlang flows, which are formed as a result of sieving the simplest Poisson flow. In this case, the semi-Markov model is reduced to the Markov one, which radically simplifies the analysis of real systems.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44652302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ANALYSIS OF THE SOUND EVENT DETECTION METHODS AND SYSTEMS 分析了声事件检测的方法和系统

Suchasni informatsiini sistemi Pub Date : 2022-04-06 DOI: 10.20998/2522-9052.2022.1.11

Andriy Kovalenko, A. Poroshenko

{"title":"ANALYSIS OF THE SOUND EVENT DETECTION METHODS AND SYSTEMS","authors":"Andriy Kovalenko, A. Poroshenko","doi":"10.20998/2522-9052.2022.1.11","DOIUrl":"https://doi.org/10.20998/2522-9052.2022.1.11","url":null,"abstract":"Detection and recognition of loud sounds and characteristic noises can significantly increase the level of safety and ensure timely response to various emergency situations. Audio event detection is the first step in recognizing audio signals in a continuous audio input stream. This article presents a number of problems that are associated with the development of sound event detection systems, such as the deviation for each environment and each sound category, overlapping audio events, unreliable training data, etc. Both methods for detecting monophonic impulsive audio event and polyphonic sound event detection methods which are used in the state-of-the-art sound event detection systems are presented. Such systems are presented in Detection and Classification of Acoustic Scenes and Events (DCASE) challenges and workshops, which take place every year. Beside a majority of works focusing on the improving overall performance in terms of accuracy many other aspects have also been studied. Several systems presented at DCASE 2021 task 4 were considered, and based on their analysis, there was a conclusion about possible future for sound event detection systems. Also the actual directions in the development of modern audio analytics systems are presented, including the study and use of various architectures of neural networks, the use of several data augmentation techniques, such as universal sound separation, etc.","PeriodicalId":34701,"journal":{"name":"Suchasni informatsiini sistemi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46973728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2