Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic Flow
The paper discusses issues of network traffic analysis based on functional Kohonen’ self-organizing map. Using the information received from the sensors of the system and especially structured, methods of analysis using Kohonen’ self-organizing maps were adapted, as well as a special algorithm for v...
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| Format: | Article |
| Language: | English |
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Joint Stock Company "Experimental Scientific and Production Association SPELS
2011-12-01
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| Series: | Безопасность информационных технологий |
| Subjects: | |
| Online Access: | https://bit.mephi.ru/index.php/bit/article/view/584 |
| _version_ | 1797725250485485568 |
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| author | G. V. Babenko |
| author_facet | G. V. Babenko |
| author_sort | G. V. Babenko |
| collection | DOAJ |
| description | The paper discusses issues of network traffic analysis based on functional Kohonen’ self-organizing map. Using the information received from the sensors of the system and especially structured, methods of analysis using Kohonen’ self-organizing maps were adapted, as well as a special algorithm for visualization of the results of analysis using a color gradient were applied. |
| first_indexed | 2024-03-12T10:28:28Z |
| format | Article |
| id | doaj.art-21b2434ca5fd49aaa6d2ab7d93d10727 |
| institution | Directory Open Access Journal |
| issn | 2074-7128 2074-7136 |
| language | English |
| last_indexed | 2024-03-12T10:28:28Z |
| publishDate | 2011-12-01 |
| publisher | Joint Stock Company "Experimental Scientific and Production Association SPELS |
| record_format | Article |
| series | Безопасность информационных технологий |
| spelling | doaj.art-21b2434ca5fd49aaa6d2ab7d93d107272023-09-02T09:25:59ZengJoint Stock Company "Experimental Scientific and Production Association SPELSБезопасность информационных технологий2074-71282074-71362011-12-011846066574Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic FlowG. V. BabenkoThe paper discusses issues of network traffic analysis based on functional Kohonen’ self-organizing map. Using the information received from the sensors of the system and especially structured, methods of analysis using Kohonen’ self-organizing maps were adapted, as well as a special algorithm for visualization of the results of analysis using a color gradient were applied.https://bit.mephi.ru/index.php/bit/article/view/584self-organizing mapsthe gradientkey characteristics |
| spellingShingle | G. V. Babenko Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic Flow Безопасность информационных технологий self-organizing maps the gradient key characteristics |
| title | Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic Flow |
| title_full | Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic Flow |
| title_fullStr | Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic Flow |
| title_full_unstemmed | Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic Flow |
| title_short | Kohonen’s Self-Organizing Maps as the Instrument of Detection the Deviations in TCP/IP Traffic Flow |
| title_sort | kohonen s self organizing maps as the instrument of detection the deviations in tcp ip traffic flow |
| topic | self-organizing maps the gradient key characteristics |
| url | https://bit.mephi.ru/index.php/bit/article/view/584 |
| work_keys_str_mv | AT gvbabenko kohonensselforganizingmapsastheinstrumentofdetectionthedeviationsintcpiptrafficflow |