Computer systems and network最新文献_第2页

OVERVIEW OF THE CIS BENCHMARKS USAGE FOR FULFILLING THE REQUIREMENTS FROM INTERNATIONAL STANDARD ISO/IEC 27001:2022 为满足国际标准 ISO/IEC 27001:2022 的要求而使用的 CIS 基准概述

Computer systems and network Pub Date : 2024-06-01 DOI: 10.23939/csn2024.01.089

Y. Kurii, I. Opirskyy

引用次数: 0

RESEARCH ON THE IMPACT OF ELECTROMAGNETIC INTERFERENCE ON THE FUNCTIONING OF COMMUNICATION AND RADAR SYSTEMS 研究电磁干扰对通信和雷达系统功能的影响

Computer systems and network Pub Date : 2024-06-01 DOI: 10.23939/csn2024.01.001

R.T. Bybyk, Y.M. Nakonechnyi

{"title":"RESEARCH ON THE IMPACT OF ELECTROMAGNETIC INTERFERENCE ON THE FUNCTIONING OF COMMUNICATION AND RADAR SYSTEMS","authors":"R.T. Bybyk, Y.M. Nakonechnyi","doi":"10.23939/csn2024.01.001","DOIUrl":"https://doi.org/10.23939/csn2024.01.001","url":null,"abstract":"The impact of electromagnetic interference on the operation of communication and radar systems is discussed. In modern military conflicts the effectiveness of communication and reconnaissance is crucial for success. Through precise research and experiments conducted in this article the fundamental aspects of how electromagnetic interference affects the ability of communication and radar systems to operate in combat conditions are revealed. Various types of interference their effects and interaction with communication systems as well as methods of management and mitigation of interference effects are also examined. The results obtained serve as a valuable addition to understanding the issues of the radio frequency spectrum and ensuring the reliability of communication and radar systems in the electromagnetic environment of contemporary theaters of war. The article aims to investigate and systematize knowledge regarding the impact of electromagnetic interference on communication and radar systems and provide readers with information that can serve as a basis for further research and development in this area. A wide range of literature and articles providing information on the impact of electromagnetic interference on radar systems were analyzed to support the research. Key words: Electromagnetic Interference (EMI) Electronic Warfare (EW) Electronic Support (ES) Electronic Suppression (ES) Electronic Protection (EP) Jamming Radar.","PeriodicalId":504130,"journal":{"name":"Computer systems and network","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141403271","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

RESEARCH AND IMPROVEMENT OF COMPUTING ALGORITHMS FOR CALCULATING THE TRIGONOMETRICAL COEFFICIENTS OF THE HASHING ALGORITHM MD5 研究和改进哈希算法 md5 三角系数的计算算法

Computer systems and network Pub Date : 2024-06-01 DOI: 10.23939/csn2024.01.026

A. Horpenyuk, N. Luzhetska, M. Horpenyuk

{"title":"RESEARCH AND IMPROVEMENT OF COMPUTING ALGORITHMS FOR CALCULATING THE TRIGONOMETRICAL COEFFICIENTS OF THE HASHING ALGORITHM MD5","authors":"A. Horpenyuk, N. Luzhetska, M. Horpenyuk","doi":"10.23939/csn2024.01.026","DOIUrl":"https://doi.org/10.23939/csn2024.01.026","url":null,"abstract":"The paper examines the problems of ensuring the authenticity of messages as well as analyzes the modern requirements for hash functions and the problems of designing algorithms for calculating hash functions. The common MD5 hashing algorithm was investigated. These days its level of security is considered insufficient for protecting high-level data confidentiality. However it is an effective and fast algorithm for hashing messages and is successfully used to protect commercial information. The paper examines the main computational transformations of the MD5 hashing algorithm. It is shown that variable constants are used in the MD5 algorithm to improve stability. A sweep of the sine function is used to calculate these variable constants. The paper examines the feasibility of using number-pulse computing structures for the calculation of variable trigonometric constants of the MD5 hashing algorithm. It is shown that the use of classical number-pulse computing structures is impractical due to the insufficient range of reproduction of the necessary trigonometric functions. Advanced wide-band digital-pulse structures provide the necessary conversion function range and accuracy. However the speed of such calculators is critically insufficient to calculate all the trigonometric coefficients of the MD5 hashing algorithm. The paper developed a mathematical and software model of the structure of the sine function expansion for the MD5 algorithm. The mathematical model is based on the relations for the sine and cosine of the sum of the arguments which are adapted for the MD5 hashing algorithm. The use of the developed differential computing structure allows saving memory when implementing the algorithm on devices with limited memory resources. Key words: cryptography message authenticity hash function.","PeriodicalId":504130,"journal":{"name":"Computer systems and network","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141393928","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

ARTIFICIAL INTELLIGENCE TECHNIQUES APPLICATION IN THE MOBILE DEVICE DATA ANALYSIS TO IDENTIFY PERSON-OF-INTEREST 人工智能技术在移动设备数据分析中的应用，以识别感兴趣的人

Computer systems and network Pub Date : 2024-06-01 DOI: 10.23939/csn2024.01.165

T. Fedynyshyn, O. Mykhaylova

{"title":"ARTIFICIAL INTELLIGENCE TECHNIQUES APPLICATION IN THE MOBILE DEVICE DATA ANALYSIS TO IDENTIFY PERSON-OF-INTEREST","authors":"T. Fedynyshyn, O. Mykhaylova","doi":"10.23939/csn2024.01.165","DOIUrl":"https://doi.org/10.23939/csn2024.01.165","url":null,"abstract":"The methods for identifying persons of interest (POI) based on mobile device data has been considered. The problem is relevant and unresolved in the activities of law enforcement intelligence and other agencies involved in operational search activities due to the large amount of data stored on mobile devices. Given the complexity and volume of mobile data traditional analysis methods are often insufficiently effective. The authors propose use of artificial intelligence (AI) including machine learning and natural language processing to improve the efficiency and speed of mobile device data analysis. This approach aims to overcome the limitations of manual data analysis and enhance the process of identifying POIs while adhering to the principles of forensic integrity. The research specifically demonstrates how machine learning can be utilized to search for persons of interest in WhatsApp messenger data. A method has been developed for decentralized control of adaptive data collection processes using the principle of equilibrium and reinforcement learning using the normalized exponential function method. The developed method allows for efficient operation of autonomous distributed systems in conditions of dynamic changes in the number of data collection processes and limited information interaction between them. The results of the experiment indicate that using artificial intelligence for facial recognition may result in false positive outcomes implying that humans cannot be entirely replaced at the current stage of AI evolution. However the application of deep learning showed an 88% success rate in facial recognition. These findings underscore the transformative potential of artificial intelligence in mobile forensics highlighting its capacity to enhance the accuracy and efficiency of data analysis in mobile devices. Key words: artificial intelligence mobile forensics data analysis ios whatsapp","PeriodicalId":504130,"journal":{"name":"Computer systems and network","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141405314","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

APPROACHES TO THREAT MODELING IN THE CREATION OF A COMPREHENSIVE INFORMATION SECURITY SYSTEM FOR A MULTI-LEVEL INTELLIGENT CONTROL SYSTEMS 为多级智能控制系统创建综合信息安全系统的威胁建模方法

Computer systems and network Pub Date : 2024-06-01 DOI: 10.23939/csn2024.01.081

T. Kret

引用次数: 0

METHODS AND MEANS OF ENSURING STABILITY AND PROTECTION OF RADIO COMMUNICATIONS IN A COMPLEX ELECTROMAGNETIC ENVIRONMENT 确保复杂电磁环境中无线电通信的稳定性和保护的方法和手段

Computer systems and network Pub Date : 2024-06-01 DOI: 10.23939/csn2024.01.099

R. Kuten, O. Syniavskyi

引用次数: 0