Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Behavioral Biometric System Based on Network Traffic Analysis. / Firsov, Artemiy; Khazankin, Grigory R.
SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 980-982 8958166 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Behavioral Biometric System Based on Network Traffic Analysis
AU - Firsov, Artemiy
AU - Khazankin, Grigory R.
N1 - Publisher Copyright: © 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/10
Y1 - 2019/10
N2 - Network traffic can be analyzed with various methods. In this work we present the hybrid method of analyzing network traffic data combining signature-based and inference-based approaches. We show that there is the potential of building the bio-metric system upon network traffic data and also show that the identification results for 3 persons identification problem reach 0.95 precision and 0.91 recall metric values.
AB - Network traffic can be analyzed with various methods. In this work we present the hybrid method of analyzing network traffic data combining signature-based and inference-based approaches. We show that there is the potential of building the bio-metric system upon network traffic data and also show that the identification results for 3 persons identification problem reach 0.95 precision and 0.91 recall metric values.
KW - Behaviometrics
KW - Biometrics
KW - GMMs
KW - Hybrid approach
KW - Identification
KW - Inference-Based approach
KW - Network Traffic Analysis
KW - Signature-based Approach
KW - YAF
UR - http://www.scopus.com/inward/record.url?scp=85079061390&partnerID=8YFLogxK
U2 - 10.1109/SIBIRCON48586.2019.8958166
DO - 10.1109/SIBIRCON48586.2019.8958166
M3 - Conference contribution
AN - SCOPUS:85079061390
SN - 978-1-7281-4402-3
T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
SP - 980
EP - 982
BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Y2 - 21 October 2019 through 27 October 2019
ER -
ID: 28278800