BUILDING INTRUSION DETECTION SYSTEMS BASED ON THE BASIS OF METHODS OF INTELLECTUAL ANALYSIS OF DATA

Serhii Toliupa

tolupa@i.ua
Taras Shevchenko Kyiv National University, Faculty of Infirmation Security (Ukraine)
http://orcid.org/0000-0002-1919-9174

Mykola Brailovskyi


Taras Shevchenko Kyiv National University, Faculty of Infirmation Security (Ukraine)
http://orcid.org/0000-0002-3031-4049

Ivan Parkhomenko


Taras Shevchenko Kyiv National University, Faculty of Infirmation Security (Ukraine)
http://orcid.org/0000-0002-9197-2600

Abstract

Nowadays, with the rapid development of network technologies and with global informatization of society problems come to the fore ensuring a high level of information system security. With the increase in the number of computer security incidents, intrusion detection systems (IDS) started to be developed rapidly.Nowadays the intrusion detection systems usually represent software or hardware-software solutions, that automate the event control process, occurring in an information system or network, as well as independently analyze these events in search of signs of security problems. A modern approach to building intrusion detection systems is full of flaws and vulnerabilities, which allows, unfortunately, harmful influences successfully overcome information security systems. The application of methods for analyzing data makes it possible identification of previously unknown, non-trivial, practically useful and accessible interpretations of knowledge necessary for making decisions in various spheres of human activity. The combination of these methods along with an integrated decision support system makes it possible to build an effective system for detecting and counteracting attacks, which is confirmed by the results of imitation modeling.


Keywords:

intrusion detection systems, attacks, fuzzy logic, neural networks

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Published
2018-12-16

Cited by

Toliupa, S., Brailovskyi, M., & Parkhomenko, I. (2018). BUILDING INTRUSION DETECTION SYSTEMS BASED ON THE BASIS OF METHODS OF INTELLECTUAL ANALYSIS OF DATA. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 8(4), 28–31. https://doi.org/10.5604/01.3001.0012.8022

Authors

Serhii Toliupa 
tolupa@i.ua
Taras Shevchenko Kyiv National University, Faculty of Infirmation Security Ukraine
http://orcid.org/0000-0002-1919-9174

Authors

Mykola Brailovskyi 

Taras Shevchenko Kyiv National University, Faculty of Infirmation Security Ukraine
http://orcid.org/0000-0002-3031-4049

Authors

Ivan Parkhomenko 

Taras Shevchenko Kyiv National University, Faculty of Infirmation Security Ukraine
http://orcid.org/0000-0002-9197-2600

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