Reducing the Dimension of Input Data for IDS by Using Match Analysis

This work is devoted to reducing the dimensionality of the input data vector on the example of intrusion detection systems using the matching analysis method.

Bibliographic Details
Main Authors: Sergey Erokhin, Boris Borisenko, Aleksander Fadeev
Format: Article
Language:English
Published: FRUCT 2021-01-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/fruct28/files/Ero2.pdf
id doaj-7b9836e4cd2c4de6acb0fe64785d9f5b
record_format Article
spelling doaj-7b9836e4cd2c4de6acb0fe64785d9f5b2021-02-12T09:31:58ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372021-01-012819610210.23919/FRUCT50888.2021.9347629Reducing the Dimension of Input Data for IDS by Using Match AnalysisSergey Erokhin0Boris Borisenko1Aleksander Fadeev2MTUCI, RussiaMTUCI, RussiaMTUCI, RussiaThis work is devoted to reducing the dimensionality of the input data vector on the example of intrusion detection systems using the matching analysis method.https://www.fruct.org/publications/fruct28/files/Ero2.pdfmatch analysisdimension reducingdecreasing algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Sergey Erokhin
Boris Borisenko
Aleksander Fadeev
spellingShingle Sergey Erokhin
Boris Borisenko
Aleksander Fadeev
Reducing the Dimension of Input Data for IDS by Using Match Analysis
Proceedings of the XXth Conference of Open Innovations Association FRUCT
match analysis
dimension reducing
decreasing algorithm
author_facet Sergey Erokhin
Boris Borisenko
Aleksander Fadeev
author_sort Sergey Erokhin
title Reducing the Dimension of Input Data for IDS by Using Match Analysis
title_short Reducing the Dimension of Input Data for IDS by Using Match Analysis
title_full Reducing the Dimension of Input Data for IDS by Using Match Analysis
title_fullStr Reducing the Dimension of Input Data for IDS by Using Match Analysis
title_full_unstemmed Reducing the Dimension of Input Data for IDS by Using Match Analysis
title_sort reducing the dimension of input data for ids by using match analysis
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2021-01-01
description This work is devoted to reducing the dimensionality of the input data vector on the example of intrusion detection systems using the matching analysis method.
topic match analysis
dimension reducing
decreasing algorithm
url https://www.fruct.org/publications/fruct28/files/Ero2.pdf
work_keys_str_mv AT sergeyerokhin reducingthedimensionofinputdataforidsbyusingmatchanalysis
AT borisborisenko reducingthedimensionofinputdataforidsbyusingmatchanalysis
AT aleksanderfadeev reducingthedimensionofinputdataforidsbyusingmatchanalysis
_version_ 1724273374794874880