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Title |
ASSESSMENT OF QUALITY OF NETWORK
ANOMALIES DETECTION ALGORITHM BASED ON DISCRETE
WAVELET TRANSFORMS USING THE F-MEASURE
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Authors |
Mikova Sophia Yurievna
student, Department of «Information Security»,
Volgograd State University. Email: sofya_mikova@mail.ru
Oladko Vladlena Sergeevna,
PhD (Engineering), Associate Professor of
Information Security of «Information Security»
department, Volgograd State University, (8442)
460368. Email: oladko.vs@yandex.ru
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Section |
ACTUAL PROBLEMS OF CYBERSECURITY |
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Issue |
16 |
Page |
36-40 |
index UDC |
004.056.5 + 004.021
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index LBC |
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Abstract |
The paper considers the problem
of quality assessment algorithms detect network
anomalies The quality of the algorithms proposed to
estimate the harmonic F-measure. Method of research
quality of the algorithm proposed. Quantitative
assessment of the completeness, accuracy, F-measure
is provided. Experimental study of the quality of
network anomalies detection algorithm based on
discrete wavelet transform, showing the dependence
of the quality of the algorithm on the size of the
sliding window.
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Keywords |
classification,
network attack, accuracy, completeness.
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