Prof. Dr. Sergii Kavun
Computer Information Systems and Technologies, Interregional Academy of Personnel Management, Kyiv, Kyyiv, Misto, Ukraine
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Academic Career Length
16Years (2011-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications10 January 2017 in International Journal of Modeling, Simulation, and Scientific Computing
Journal Article
AZAlina Zamula
Alina ZamulaSergii Kavun1 January 2015 in International Journal of Computing Science and Mathematics
Journal Article
Sergii KavunThe main purpose of this paper is to show some conceptual fundamentals for a new theory of mathematical interpretation (TMI), which can be used for solving the non-formalised and heavy-formalised tasks in different areas of science. This theory has all principal factors, which are inherent to any theory. Foremost, this theory has the historical, theoretical, mathematical and simulation fundamentals. In addition, it has the mathematical description as a set of the postulates. Thus, this theory will be able to expand a sphere of using of an existing mathematical tool in other (specific) areas of science and some possibilities for their further application. This everything is confirming the uniformity and comprehensiveness of the existing mathematical tool, and it is showing some possibilities of a mutual penetration of different areas to each other.
1 January 2014 in Mathematical Problems in Engineering
Journal Article
RBRobert Brumnik
Robert Brumnik
VKVladislav Kovtun
Vladislav KovtunAOAndrew Okhrimenko
Andrew OkhrimenkoSergii KavunThe problem of arithmetic operations performance in number fields is actively researched by many scientists, as evidenced by significant publications in this field. In this work, we offer some techniques to increase performance of software implementation of finite field multiplication algorithm, for both 32‐bit and 64‐bit platforms. The developed technique, called “delayed carry mechanism,” allows to preventing necessity to consider a significant bit carry at each iteration of the sum accumulation loop. This mechanism enables reducing the total number of additions and applies the modern parallelization technologies effectively.
1 January 2012
Book Chapter
Sergii KavunIMIrina V. Mykhalchuk
Irina V. Mykhalchuk
NKNataliya I. Kalashnykova
Nataliya I. KalashnykovaOZOleksandr G. Zyma
Oleksandr G. Zyma
1 January 2016 in International Journal of Data Analysis Techniques and Strategies
Journal Article
Sergii KavunPresented by the author's indicative-geometric method (IGM) is a new method for estimating the significance or any properties or features of business entities. This method can help to choose the best (or worst) business entity from some set based on its aggregate indicator. In addition, this method can be used for estimation, when the studied object has some indicator values of the different physical nature. The principal advantages of the indicative-geometric method are the following: 1) versatility; 2) ease of implementation; 3) high speed calculations; 4) visibility by use; 5) commonality contribute of the input parameters or indicators.
1 April 2019
Conference Paper
Oleksandr KuznetsovSergii KavunOSOleksii Smirnov
Oleksii Smirnov
Vitalina BabenkoONOleksandr Nakisko
Oleksandr Nakisko
KKKateryna Kuznetsova
Kateryna Kuznetsova
The structure and features of the construction for intrusion detection and prevention network systems, as well as methods for the correlation analysis of telecommunication traffic in computer systems and networks are considered. Method for detecting malicious software based on the correlation analysis of network traffic is proposed. In particular, it is shown that using the results of statistical studies of time series on the basis of calculating the difference of correlation integrals (BDS-testing) allows to detect the malicious software traffic to improve the computer networks security of promising Smart Grids systems.
About Me
Professor Sergii Kavun, D.Sc., Ph.D., holds dual doctoral qualifications, having obtained his Ph.D. in Computer Science (2000) from the Department of Automatic Control Systems, Computation Systems and Networks, followed by a Doctor of Science (Habilitation) degree in Economics (2014). His academic appointments include Associate Professor (2005) specializing in Information Systems, and subsequently Full Professor (2016) specializing in the Information Technology.
He completed two Master of Science degrees: Mathematics and Computer Science (1995, Magna Cum Laude) and Financial and Economic Security Management (2016, Summa Cum Laude). He holds professional certification as an accredited specialist in Information Security Management according to ISO 27002:2005.
His scholarly contributions comprise over 400 publications in peer-reviewed scientific journals and international conference proceedings, primarily focused on information and economic security research. Professor Kavun holds five patents in his fields of expertise.
In recognition of his academic leadership, he serves on the editorial boards of twelve international journals, including several appointments as Editor-in-Chief. Additionally, he has been selected to serve on program committees for multiple international conferences. The University of Banking of the National Bank of Ukraine distinguished Professor Kavun as "Best Prominent Scientist" and bestowed upon him an honorary award for his scholarly achievements.
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