What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale

Researchers developed an LLM-based approach to identify IoT devices on networks at scale by analyzing network traffic and device metadata. This technique could enhance enterprise network security posture by automating device discovery and classification, particularly relevant for organizations managing complex healthcare, financial, or educational infrastructure with numerous connected devices.

Researchers developed an LLM-based approach to identify IoT devices on networks at scale by analyzing network traffic and device metadata. This technique could enhance enterprise network security posture by automating device discovery and classification, particularly relevant for organizations managing complex healthcare, financial, or educational infrastructure with numerous connected devices.

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