Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring

Yumi Kim; Bokyeong Kim; Jaechan Lee; Dongjin Lee; Haneul Ko

doi:10.1109/INFOCOMWKSHPS65812.2025.11152874

Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring

Yumi Kim
, Bokyeong Kim
, Jaechan Lee
, Dongjin Lee
, Haneul Ko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In-Band network telemetry (INT) enables real-time network monitoring but introduces significant traffic overhead. To mitigate this challenge, we propose a congestion-aware selective INT (CASINT), a novel system designed to reduce traffic overhead while maintaining anomaly detection accuracy above a predefined threshold. CASINT determines the minimum types of INT data to maintain anomaly detection accuracy and dynamically adjusts INT data collection based on network congestion levels. To evaluate CASINT, we develop a testbed emulating a real mobile network, demonstrating its effectiveness in reducing overhead and preserving detection accuracy.

Original language	English
Title of host publication	IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331543709
DOIs	https://doi.org/10.1109/INFOCOMWKSHPS65812.2025.11152874
Publication status	Published - 2025
Event	2025 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025 - London, United Kingdom Duration: 19 May 2025 → …

Publication series

Name	IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025

Conference

Conference	2025 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025
Country/Territory	United Kingdom
City	London
Period	19/05/25 → …

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

anomaly detection
In-Band network telemetry (INT)
network congestion
programmable data plane (PDP)

Access to Document

10.1109/INFOCOMWKSHPS65812.2025.11152874

Cite this

Kim, Y., Kim, B., Lee, J., Lee, D., & Ko, H. (2025). Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring. In IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025 (IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOMWKSHPS65812.2025.11152874

Kim, Yumi ; Kim, Bokyeong ; Lee, Jaechan et al. / Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring. IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025).

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title = "Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring",

abstract = "In-Band network telemetry (INT) enables real-time network monitoring but introduces significant traffic overhead. To mitigate this challenge, we propose a congestion-aware selective INT (CASINT), a novel system designed to reduce traffic overhead while maintaining anomaly detection accuracy above a predefined threshold. CASINT determines the minimum types of INT data to maintain anomaly detection accuracy and dynamically adjusts INT data collection based on network congestion levels. To evaluate CASINT, we develop a testbed emulating a real mobile network, demonstrating its effectiveness in reducing overhead and preserving detection accuracy.",

keywords = "anomaly detection, In-Band network telemetry (INT), network congestion, programmable data plane (PDP)",

author = "Yumi Kim and Bokyeong Kim and Jaechan Lee and Dongjin Lee and Haneul Ko",

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year = "2025",

doi = "10.1109/INFOCOMWKSHPS65812.2025.11152874",

language = "English",

series = "IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025",

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Kim, Y, Kim, B, Lee, J, Lee, D & Ko, H 2025, Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring. in IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025. IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025, Institute of Electrical and Electronics Engineers Inc., 2025 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025, London, United Kingdom, 19/05/25. https://doi.org/10.1109/INFOCOMWKSHPS65812.2025.11152874

Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring. / Kim, Yumi; Kim, Bokyeong; Lee, Jaechan et al.
IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring

AU - Kim, Yumi

AU - Kim, Bokyeong

AU - Lee, Jaechan

AU - Lee, Dongjin

AU - Ko, Haneul

PY - 2025

Y1 - 2025

N2 - In-Band network telemetry (INT) enables real-time network monitoring but introduces significant traffic overhead. To mitigate this challenge, we propose a congestion-aware selective INT (CASINT), a novel system designed to reduce traffic overhead while maintaining anomaly detection accuracy above a predefined threshold. CASINT determines the minimum types of INT data to maintain anomaly detection accuracy and dynamically adjusts INT data collection based on network congestion levels. To evaluate CASINT, we develop a testbed emulating a real mobile network, demonstrating its effectiveness in reducing overhead and preserving detection accuracy.

AB - In-Band network telemetry (INT) enables real-time network monitoring but introduces significant traffic overhead. To mitigate this challenge, we propose a congestion-aware selective INT (CASINT), a novel system designed to reduce traffic overhead while maintaining anomaly detection accuracy above a predefined threshold. CASINT determines the minimum types of INT data to maintain anomaly detection accuracy and dynamically adjusts INT data collection based on network congestion levels. To evaluate CASINT, we develop a testbed emulating a real mobile network, demonstrating its effectiveness in reducing overhead and preserving detection accuracy.

KW - anomaly detection

KW - In-Band network telemetry (INT)

KW - network congestion

KW - programmable data plane (PDP)

UR - https://www.scopus.com/pages/publications/105017967128

U2 - 10.1109/INFOCOMWKSHPS65812.2025.11152874

DO - 10.1109/INFOCOMWKSHPS65812.2025.11152874

M3 - Conference contribution

AN - SCOPUS:105017967128

T3 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025

BT - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2025 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025

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ER -

Kim Y, Kim B, Lee J, Lee D, Ko H. Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring. In IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025. Institute of Electrical and Electronics Engineers Inc. 2025. (IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2025). doi: 10.1109/INFOCOMWKSHPS65812.2025.11152874

Congestion-Aware Selective In-Band Network Telemetry for Low Traffic Overhead and High-Accuracy Network Monitoring

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Keywords

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