Analysis of information technologies and methods for automatic updating of threat detection models in computer systems
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Дата
2026
Автори
Назва журналу
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Видавець
Хмельницький національний університет
Анотація
The development of intelligent adaptive information technologies
for automatic updating of threat detection models in computer systems is
one of the most important directions in modern research on information
technologies. Computer systems today operate in environments that are
constantly changing, influenced by new software, evolving hardware, and
diverse data processing methods. Traditional static approaches, which rely
on fixed rules or predefined models, often become outdated quickly and
fail to provide the necessary adaptability.
Existing approaches to detection in computer systems have been
studied extensively, and while they provide valuable insights, they also
demonstrate clear limitations. Signature-based methods depend heavily on
known patterns and therefore struggle to identify new or unexpected
phenomena. Heuristic analysis allows for broader generalization but is
frequently associated with high rates of false positives, which reduces its
practical usefulness. Behavioral monitoring can capture dynamic changes
in system activity, yet it requires significant computational resources and
may slow down performance. Machine learning models offer adaptability
and the ability to learn from data, but they demand large amounts of
training information and careful tuning to avoid errors. Hybrid approaches
attempt to combine the strengths of multiple techniques, but they often
face difficulties in seamless integration and optimization within existing
infrastructures.
Because of these limitations, researchers are increasingly
focused on developing frameworks that incorporate automatic updating
mechanisms. Such frameworks are designed to be self-adaptive, meaning
they can evolve continuously in response to new conditions without
requiring manual intervention. Real-time adaptation is a central feature of
these systems, enabling them to improve accuracy, reduce false positives,
and optimize the use of computational resources.
By integrating intelligent updating mechanisms, information
infrastructures can achieve higher levels of stability and efficiency. This not
only enhances the overall performance of computer systems but also
ensures that they remain relevant and effective in environments where
change is constant. The ability to evolve automatically, without relying on
outdated static methods, positions these technologies as a cornerstone of
future developments in information systems.
The continuous evolution of computational environments
demands solutions that are flexible, intelligent, and capable of real-time
adaptation. By embracing adaptive frameworks, researchers and
developers can create systems that are not only more accurate and efficient
but also more resilient and scalable. This marks a decisive step toward the
next generation of computer systems, where adaptability and automation
are essential for long-term reliability and success.
Опис
Ключові слова
computer systems, threat detection, machine learning, information technology, automatic update
Бібліографічний опис
Isaiev T., Atamaniuk O. Analysis of information technologies and methods for automatic updating of threat detection models in computer systems // Computer Systems and Information Technologies. 2026. No. 1. P. 172-185.