Behavioral Biometric System Based on Network Traffic Analysis

A. Firsov; G. R. Khazankin

doi:10.1109/SIBIRCON48586.2019.8958166

Behavioral Biometric System Based on Network Traffic Analysis

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

Аннотация

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.

Язык оригинала	английский
Название основной публикации	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
Издатель	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Страницы	980-982
Число страниц	3
ISBN (электронное издание)	978-1-7281-4401-6
ISBN (печатное издание)	978-1-7281-4402-3
DOI	https://doi.org/10.1109/SIBIRCON48586.2019.8958166
Состояние	Опубликовано - окт 2019
Событие	SIBIRCON 2019 International Multi-Conference - Россия, Новосибирск, Новосибирск, Российская Федерация Продолжительность: 21 окт 2019 → 27 окт 2019 Номер конференции: 8 https://sibircon.ieeesiberia.org/

Серия публикаций

Название	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Конференция

Конференция	SIBIRCON 2019 International Multi-Conference
Сокращенный заголовок	SIBIRCON 2019
Страна	Российская Федерация
Город	Новосибирск
Период	21.10.2019 → 27.10.2019
Адрес в сети Интернет	https://sibircon.ieeesiberia.org/

Ключевые слова

Biometrics
Behaviometrics
Network Traffic Analysis
Identification
Signature-based Approach
Inference-Based approach
Hybrid approach
YAF
GMMs

Доступ к документу

10.1109/SIBIRCON48586.2019.8958166

Link to publication in Scopus

Fingerprint Подробные сведения о темах исследования «Behavioral Biometric System Based on Network Traffic Analysis». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

Firsov, A., & Khazankin, G. R. (2019). Behavioral Biometric System Based on Network Traffic Analysis. В SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (стр. 980-982). [8958166] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. https://doi.org/10.1109/SIBIRCON48586.2019.8958166

Firsov, A. ; Khazankin, G. R. / Behavioral Biometric System Based on Network Traffic Analysis. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. стр. 980-982 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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title = "Behavioral Biometric System Based on Network Traffic Analysis",

abstract = "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.",

keywords = "Biometrics, Behaviometrics, Network Traffic Analysis, Identification, Signature-based Approach, Inference-Based approach, Hybrid approach, YAF, GMMs, Behaviometrics, Biometrics, GMMs, Hybrid approach, Identification, Inference-Based approach, Network Traffic Analysis, Signature-based Approach, YAF",

author = "A. Firsov and Khazankin, {G. R.}",

year = "2019",

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doi = "10.1109/SIBIRCON48586.2019.8958166",

language = "English",

isbn = "978-1-7281-4402-3",

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pages = "980--982",

booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",

note = "null ; Conference date: 21-10-2019 Through 27-10-2019",

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Firsov, A & Khazankin, GR 2019, Behavioral Biometric System Based on Network Traffic Analysis. в SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958166, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, стр. 980-982, SIBIRCON 2019 International Multi-Conference, Новосибирск, Российская Федерация, 21.10.2019. https://doi.org/10.1109/SIBIRCON48586.2019.8958166

Behavioral Biometric System Based on Network Traffic Analysis. / Firsov, A.; Khazankin, G. R.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. стр. 980-982 8958166 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

TY - GEN

T1 - Behavioral Biometric System Based on Network Traffic Analysis

AU - Firsov, A.

AU - Khazankin, G. R.

N1 - Conference code: 8

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 - Biometrics

KW - Behaviometrics

KW - Network Traffic Analysis

KW - Identification

KW - Signature-based Approach

KW - Inference-Based approach

KW - Hybrid approach

KW - YAF

KW - GMMs

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

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U2 - 10.1109/SIBIRCON48586.2019.8958166

DO - 10.1109/SIBIRCON48586.2019.8958166

M3 - Conference contribution

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 - IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

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Firsov A , Khazankin GR. Behavioral Biometric System Based on Network Traffic Analysis. В SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2019. стр. 980-982. 8958166. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). https://doi.org/10.1109/SIBIRCON48586.2019.8958166