Development of an automated system model of information protection in the cross-border exchange

Yenlik, Begimbayeva; Ussatova, Olga; Rustem, Biyashev; Nyssanbayeva, Saule

doi:10.1080/23311916.2020.1724597

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…In [12], EDS module algorithms for block data encryption (based on exponentiation transform) were considered, as well as in [13], the development using NPNS was considered. In [12,13], only software implementations of encryption and its testing with various test data are presented. As known, cryptosystems based on NPNS can be implemented in software, hardware-software and hardware.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of pipelined polynomial multiplier modulo irreducible polynomials for cryptosystems

Tynymbayev

Ibraimov

Namazbayev

et al. 2022

EEJET

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In this paper, we consider a schematic solution of the pipeline multiplier modulo, where multiplication begins with the analysis of the lowest order of the polynomial multiplier, which can serve as an operating unit for high-speed encryption and decryption of data by hardware implementation of cryptosystems based on a non-positional polynomial notation. The functional diagram of the pipeline and the structure of its logical blocks, as well as an example of performing the operation of multiplying polynomials modulo, are given. The correct functioning of the developed circuit was checked by modeling in the Vivado Design Suite computer-aided design for the implementation of the multiplication device on the development/evaluation kit Artix-7 based on the Spartan 6 field-programmable gate array series by Xilinx. The effectiveness of the proposed hardware pipeline multiplier in modulo is confirmed by the Verilog Testbench timing diagram implemented for the evaluation kit Artix-7 field-programmable gate array. In addition, the developed pipelined modulo multiplier takes no more than 0.02 % of the resources of the used field-programmable gate array for a given length of input data. Compared to the matrix multiplication method, a pipelined modulo multiplier can handle a large data stream without waiting for the result of the previous multiplication step. The modulo pipelined multiplier depth depends on the bit width of the input data. The developed pipeline device can be used in digital computing devices operating in a polynomial system of residue classes, as well as for high-speed data encryption in blocks of cipher processors operating on the basis of a non-positional polynomial number system.

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of pipelined polynomial multiplier modulo irreducible polynomials for cryptosystems

Tynymbayev

Ibraimov

Namazbayev

et al. 2022

EEJET

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“…Ocы үрдic шeңбeрiндe aқпaрaттық тeхнoлoгиялaрды дaмыту, зияткeрлiк тeхнoлoгиялaрды әзiрлeу, кәciпoрындaрдың бизнec-прoцecтeрiн жeтiлдiру шeңбeрiндe жoғaры зияткeрлiк иннoвaциялaрды ic жүзiндe қoлдaну жәнe хaлық рeтiндe пaйдaлaнылaтын әлeумeттiк жeлiлeрдi дaмыту cияқты прoцecтeр қaдaғaлaнaды. [2] Coңғы прoцecтeрдiң бiрi-aқпaрaттық дeрeктeрдi жинaу, өңдeу, тaлдaу жәнe caқтaу бoйыншa ұйымдaрдың қызмeтiн жeтiлдiрeтiн ұйымның aқпaрaттық қaуiпciздiгiнiң кeшeндi жүйeciнiң бөлiгi рeтiндe цифрлық тeхнoлoгиялaрды дaмыту.…”

Section: Oa уCaтoвaunclassified

“…Institute of Information and Computational Technologies, Almaty, Kazakhstan;2 Al-Farabi Kazakh National University, Almaty, Kazakhstan.E-mail: balia_79@mail.ruANALYSIS OF MODERN WEB RESOURCE PROTECTION SYSTEMSAbstract. An overview of the problems of protecting web resources from the actions of intruders is presented, the basic structure of the Web service is described, the features of the Web environment affecting the protection of the information provided are given, possible threats are systematized and analyzed, measures are developed to eliminate the identified vulnerabilities of web services.…”

mentioning

confidence: 99%

Analysis of Modern Web Resource Protection System

Ussatova,

Barakova

2022

SPM

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The inclusion of News of NAS RK. Series of chemistry and technologies in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential content of chemical sciences to our community. Қазақстан Республикасы Ұлттық ғылым академиясы «ҚР ҰҒА Хабарлары. Физика және информатика сериясы» ғылыми журналының Web of Science-тің жаңаланған нұсқасы Emerging Sources Citation Index-me индекстелуге қабылданғанын хабарлайды. Бұл индекстелу барысында Clarivate Analytics компаниясы журналды одан әрі the Science Citation Index Expanded, the Social Sciences Citation Index және the Arts & Humanities Citation lndex-ке қабылдау мәселесін қарастыруда. Webof Science зерттеушілер, авторлар, баспашылар мен мекемелерге контент тереңдігі мен сапасын усынады. ҚР ҰҒА Хабарлары. Химия және технология сериясы Emerging Sources Citation lndex-ке енуі біздің қоғамдастық үшін ең өзекті және беделді химиялық ғылымдар бойынша контентке адалдығымызды білдіреді. HAH PK сообщает, что научный журнал «Известия HAH PK. Серия физика и информационные технологии» был принят для индексирования в Emerging Sources Citation Index, обновленной версии Web of Science. Содержание в этом индексировании находится в стадии рассмотрения компанией Clarivate Analytics для дальнейшего принятия журнала в the Science Citation Index Expanded, the Social Sciences Citation Index и the Arts & Humanities Citation Index. Web of Science предлагает качество и глубину контента для исследователей, авторов, издателей и учреждений. Включение Известия HAH PK в Emerging Sources Citation Index демонстрирует нашу приверженность к наиболее актуальному и влиятельному контенту по химическим наукам для нашего сообщества.

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“…Different measures have been taken to develop cybersecurity in Kazakhstan, including the concept called "Cyber Shield of Kazakhstan," which is implemented to solve the problem of cyberattacks. In addition, governmental and nongovernmental organizations are working together to develop and enhance cybersecurity methods [5]. As part of the information security event, Kaspersky Lab experts studied Kazakhstan's most common cyber threats in 2022.…”

Section: Introductionmentioning

confidence: 99%

The development of a model for the threat detection system with the use of machine learning and neural network methods

Ussatova,

Zhumabekova,

Karyukin

et al. 2024

ijirss

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This study examines the development of a model for the threat detection system with the use of machine learning and neural network methods. The fast development of Internet technologies has led to the appearance of many digital systems and platforms. However, despite the impressive technological progress, another side also emerged in the spread of a massive number of different cyber threats. Although various ways have been created to detect and prevent them, the threats are also developing and becoming more complex each year. Therefore, new system defense and data protection methods using machine and deep learning approaches have been proposed recently. The methods based on these approaches have proved to be especially effective in the wave of new Artificial Intelligence applications. In this paper, a threat detection system has been designed to disclose different kinds of threats while maintaining the security, confidentiality, and availability of the computer system. The development of machine learning models for detecting DDoS and man-in-the-middle attacks, Structured Query Language (SQL) injections, phishing, and malware was examined. The data scaling, feature selection, feature extraction, and classification steps were also thoroughly described. Naïve Bayes, Logistic Regression, Decision Tree, Random Forest, XGBoost, CatBoost, and Deep Neural Network algorithms were utilized for training the cyber threat detection models. The experimental results evaluated all the models using accuracy, precision, recall, and F1-score metrics. The best models achieved scores in the range of 0.90 to 1.00.

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Development of an automated system model of information protection in the cross-border exchange

Cited by 6 publications

References 6 publications

Development of pipelined polynomial multiplier modulo irreducible polynomials for cryptosystems

Development of pipelined polynomial multiplier modulo irreducible polynomials for cryptosystems

Analysis of Modern Web Resource Protection System

The development of a model for the threat detection system with the use of machine learning and neural network methods

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