Skip to main content Skip to main navigation menu Skip to site footer

Уважаемые пользователи! На нашем хостинге ведутся технические работы, на сайте могут быть ошибки. Приносим свои извинения за временные неудобства.

Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences"

IMPLEMENTATION OF THE ARTIFICIAL IMMUNE SYSTEM ALGORITHM FOR SECURITY INFORMATION AND EVENT MANAGEMENT SYSTEMS

Published September 2023
Karabuk University, Karabuk
##plugins.generic.jatsParser.article.authorBio##
×

Y. Çelik

Yuksel CELIK, is a Assistant Professor at Engineering Faculty Computer Engineering Department, Karabuk University, Karabuk, Turkey. He received the B.S. computer education from the Gazi University Ankara and M.S. degrees in Electronic and Computer Systems, from the Selcuk University Konya in 2003 and the Ph.D. degree in Computer Engineering from Selcuk University, Konya, Turkey, in 2013. His research interests web design, include optimization, cyber security, and deep learning.

Karabuk University, Karabuk
##plugins.generic.jatsParser.article.authorBio##
×

O. Fındık

Prof. Dr. Oğuz FINDIK: He graduated from Selçuk University Engineering and Architecture Faculty Computer Engineering Department. He completed his master and PhD program from the Computer Engineering Department of the Institute of Science too. He serves as Prof. Dr. since 2020 in Karabuk University Computer Engineering Department. He has done academic studies on Natural Language Processing, Digital Watermarking, Artificial Intelligence, Machine Learning, Swarm Optimization Algorithms. He also pioneered studies on web programming, mobile programming and developing games using the unity game engine.

Hitit University, Çorum
##plugins.generic.jatsParser.article.authorBio##
×

Y. Alaca

YUSUF ALACA earned his Bachelor's degree in Computer Engineering from Erciyes University in 2013. In 2014, he began working as an engineer at Zonguldak Municipality, where he served for approximately 7 years. During his tenure, he held the position of Information Technology Manager for two years. Continuing his academic career, he completed his Master's degree in Computer Engineering from Karabuk University in 2018 and obtained his Ph.D. in the same field from the same university in 2023. Currently, he is an Assistant Professor in the Department of Computer Technologies at Hitit University Osmancik Omerderindere Vocational School and holds the title of Assistant Director at the vocational school. His primary research interests in his academic career include cybersecurity, deep learning, graph theory, and image processing.

Kh.Dosmukhamedov Atyrau University, Atyrau
##plugins.generic.jatsParser.article.authorBio##
×

B. Assanova

Asanova Baktygul Ungarsinovna was born on 13.09.1981 in the village of Taisoygan, Kyzylkoginsky district, Guryev region. From 1987 to 1998 he studied at the G. Slanov Secondary School. In 1998 he entered the Faculty of Mechanics and Mathematics of the Kazakh National University.Al-Farabi majored in Applied Mathematics, from which he graduated in 2002. In 2002, she entered this university for a master's degree, from which she graduated in 2004, was awarded the qualification and academic degree 510250 - Master of Applied Mathematics and Computer Science. In 2004, he entered the direction of Atyrau State University named after H. Dosmukhamedov. Since 2004, lecturer of the Department of Mathematical Analysis, Faculty of Physics, Mathematics and Information Technologies of Atyrau State University named after H. Dosmukhamedov (2006-2011), senior lecturer (2011-2017). 2008-2014. Deputy Dean for Educational and Educational Work of the Faculty of Physics, Mathematics and Information Technology, 2014-2016. Dean of the Faculty of Pre-university Training, 2016-2017. He worked as a senior lecturer at the Department of Software Engineering. In 2017-2020, he graduated from doctoral studies in the specialty 6d070300-information systems of the Eurasian National University, Astana, Faculty of Information Technology, in 2020 he successfully defended his doctoral dissertation and received the degree of Doctor of Philosophy (PhD) in the specialty Information Systems. About 30 scientific articles have been published. Since 2021 he has been working as the dean of the faculty.

Kh.Dosmukhamedov Atyrau University, Atyrau
##plugins.generic.jatsParser.article.authorBio##
×

S. Sharmukhanbet

In 2010, she entered the PhD program in the specialty"6d011100 – Computer Science".
Sharmukhanbet Saltanat passed the state comprehensive exam in 2013, defended his dissertation provided for by the PhD doctoral program in the specialty "6d011100 – Informatics", owns the methods of research, analysis and synthesis of scientific data, as well as teaching methods.
The research work of the employee on the topic "methodological foundations of the preparation of remotely accessible tools and virtual tools for use as a means of informatization of education (on the example of the training of physics teachers)" is to substantiate the effectiveness of the use of remotely accessible virtual tools and devices as a means of informatization of teaching students of pedagogical universities and subsequent training of students.
The results of S. R. Sharmukhanbet's work have been published in scientific and methodological journals - 35 articles, including in scientific publications recommended by the Committee for control in the field of science and education - 8 articles and in international databases of Scopus companies - 3 articles.

Abstract

One of the most used technologies in computer and network security is Security Information and Event Management (SIEM) systems. A SIEM system is a tool that collects logs of all software and hardware connected to the network, detects security violations using these logs, and generates alarm notifications. The SIEM system generates several alerts during operation. It is an essential problem because of the abundance and the correctness of these alerts generated. In this paper, we implement the Artificial Immune System (AIS) algorithm to generate more stable alerts and to increase the verification rates of the alerts produced by SIEM systems. The results show that the adaptation of the AIS algorithm to SIEM systems is successful. When we apply the SIEM systems powered by AIS, then we had got  more successful result than the traditional SIEM systems.

pdf
Language

Eng

How to Cite

[1]
Çelik, Y., Fındık, O., Alaca , Y., Assanova, B. and Sharmukhanbet , S. 2023. IMPLEMENTATION OF THE ARTIFICIAL IMMUNE SYSTEM ALGORITHM FOR SECURITY INFORMATION AND EVENT MANAGEMENT SYSTEMS. Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences". 83, 3 (Sep. 2023), 176–187. DOI:https://doi.org/10.51889/2959-5894.2023.83.3.020.