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
N1 - Publisher Copyright:
© 2025 IEEE.
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.
UR - https://www.scopus.com/pages/publications/105012196438
U2 - 10.1109/NOMS57970.2025.11073705
DO - 10.1109/NOMS57970.2025.11073705
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AN - SCOPUS:105012196438
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 -