ZEAL in the Cloud: IoT Labeling System

Bar Meyuhas; Anat Bremler-Barr; Tal Shapira

doi:10.1109/noms57970.2025.11073705

ZEAL in the Cloud: IoT Labeling System

Bar Meyuhas
, Anat Bremler-Barr
, Tal Shapira

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

Abstract

ZEAL (Zero-shot Engine for IoT Asset Labeling) is an open-source system that labels never-seen IoT devices by finding their vendor (e.g., Xiaomi, TP-Link) and function (e.g., Light, Plug) based on textual features extracted from the device network traffic, such as domains and hostnames. The system gets as an input features and enriches them using online searches. Then, it applies a string-matching algorithm to label its vendor and large language model (LLM) to label its function. The system is implemented as a serverless architecture on AWS, ZEAL utilizes services such as Lambda, Elastic File System (EFS), and S3, ensuring scalability but economic implementation. This demonstration showcases ZEAL's ability to enhance network visibility and asset management by accurately labeling devices with minimal prior knowledge. The system is open-source publicly accessible via API and GUI for research and business applications (https://labelmydevice.com), licensed under the Apache License 2.0.

Original language	English
Title of host publication	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025
Editors	Doug Zuckerman, Mehmet Ulema, Noura Limam, Young-Tak Kim, Lisandro Zambenedetti Granville, Vinicius Fulber-Garcia
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331531638
DOIs	https://doi.org/10.1109/noms57970.2025.11073705
State	Published - 2025
Externally published	Yes
Event	38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025 - Honolulu, United States Duration: 12 May 2025 → 16 May 2025

Publication series

Name	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025

Conference

Conference	38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025
Country/Territory	United States
City	Honolulu
Period	12/05/25 → 16/05/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Access to Document

10.1109/noms57970.2025.11073705

Cite this

Meyuhas, B., Bremler-Barr, A., & Shapira, T. (2025). ZEAL in the Cloud: IoT Labeling System. In D. Zuckerman, M. Ulema, N. Limam, Y.-T. Kim, L. Z. Granville, & V. Fulber-Garcia (Eds.), Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025 (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/noms57970.2025.11073705

Meyuhas, Bar ; Bremler-Barr, Anat ; Shapira, Tal. / ZEAL in the Cloud : IoT Labeling System. Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025. editor / Doug Zuckerman ; Mehmet Ulema ; Noura Limam ; Young-Tak Kim ; Lisandro Zambenedetti Granville ; Vinicius Fulber-Garcia. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025).

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title = "ZEAL in the Cloud: IoT Labeling System",

abstract = "ZEAL (Zero-shot Engine for IoT Asset Labeling) is an open-source system that labels never-seen IoT devices by finding their vendor (e.g., Xiaomi, TP-Link) and function (e.g., Light, Plug) based on textual features extracted from the device network traffic, such as domains and hostnames. The system gets as an input features and enriches them using online searches. Then, it applies a string-matching algorithm to label its vendor and large language model (LLM) to label its function. The system is implemented as a serverless architecture on AWS, ZEAL utilizes services such as Lambda, Elastic File System (EFS), and S3, ensuring scalability but economic implementation. This demonstration showcases ZEAL's ability to enhance network visibility and asset management by accurately labeling devices with minimal prior knowledge. The system is open-source publicly accessible via API and GUI for research and business applications (https://labelmydevice.com), licensed under the Apache License 2.0.",

author = "Bar Meyuhas and Anat Bremler-Barr and Tal Shapira",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025 ; Conference date: 12-05-2025 Through 16-05-2025",

year = "2025",

doi = "10.1109/noms57970.2025.11073705",

language = "אנגלית",

series = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Doug Zuckerman and Mehmet Ulema and Noura Limam and Young-Tak Kim and Granville, \{Lisandro Zambenedetti\} and Vinicius Fulber-Garcia",

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Meyuhas, B, Bremler-Barr, A & Shapira, T 2025, ZEAL in the Cloud: IoT Labeling System. in D Zuckerman, M Ulema, N Limam, Y-T Kim, LZ Granville & V Fulber-Garcia (eds), Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025. Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025, Institute of Electrical and Electronics Engineers Inc., 38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025, Honolulu, United States, 12/05/25. https://doi.org/10.1109/noms57970.2025.11073705

ZEAL in the Cloud: IoT Labeling System. / Meyuhas, Bar; Bremler-Barr, Anat; Shapira, Tal.
Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025. ed. / Doug Zuckerman; Mehmet Ulema; Noura Limam; Young-Tak Kim; Lisandro Zambenedetti Granville; Vinicius Fulber-Garcia. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025).

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

TY - GEN

T1 - ZEAL in the Cloud

T2 - 38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025

AU - Meyuhas, Bar

AU - Bremler-Barr, Anat

AU - Shapira, Tal

PY - 2025

Y1 - 2025

N2 - ZEAL (Zero-shot Engine for IoT Asset Labeling) is an open-source system that labels never-seen IoT devices by finding their vendor (e.g., Xiaomi, TP-Link) and function (e.g., Light, Plug) based on textual features extracted from the device network traffic, such as domains and hostnames. The system gets as an input features and enriches them using online searches. Then, it applies a string-matching algorithm to label its vendor and large language model (LLM) to label its function. The system is implemented as a serverless architecture on AWS, ZEAL utilizes services such as Lambda, Elastic File System (EFS), and S3, ensuring scalability but economic implementation. This demonstration showcases ZEAL's ability to enhance network visibility and asset management by accurately labeling devices with minimal prior knowledge. The system is open-source publicly accessible via API and GUI for research and business applications (https://labelmydevice.com), licensed under the Apache License 2.0.

AB - ZEAL (Zero-shot Engine for IoT Asset Labeling) is an open-source system that labels never-seen IoT devices by finding their vendor (e.g., Xiaomi, TP-Link) and function (e.g., Light, Plug) based on textual features extracted from the device network traffic, such as domains and hostnames. The system gets as an input features and enriches them using online searches. Then, it applies a string-matching algorithm to label its vendor and large language model (LLM) to label its function. The system is implemented as a serverless architecture on AWS, ZEAL utilizes services such as Lambda, Elastic File System (EFS), and S3, ensuring scalability but economic implementation. This demonstration showcases ZEAL's ability to enhance network visibility and asset management by accurately labeling devices with minimal prior knowledge. The system is open-source publicly accessible via API and GUI for research and business applications (https://labelmydevice.com), licensed under the Apache License 2.0.

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T3 - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025

BT - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025

A2 - Zuckerman, Doug

A2 - Ulema, Mehmet

A2 - Limam, Noura

A2 - Kim, Young-Tak

A2 - Granville, Lisandro Zambenedetti

A2 - Fulber-Garcia, Vinicius

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 May 2025 through 16 May 2025

ER -

Meyuhas B, Bremler-Barr A, Shapira T. ZEAL in the Cloud: IoT Labeling System. In Zuckerman D, Ulema M, Limam N, Kim YT, Granville LZ, Fulber-Garcia V, editors, Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025. Institute of Electrical and Electronics Engineers Inc. 2025. (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025). doi: 10.1109/noms57970.2025.11073705

ZEAL in the Cloud: IoT Labeling System

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