Industrial IoT Security: Best Practice for Authentication
summary
Shows a concrete retrofit demonstrator: an 8x8 infrared array feeds 64 temperature readings once per second into a TinyML pipeline built with Python, Node-RED and TensorFlow Lite for on‑edge classification that outputs a binary status to a PLC to reduce downtime. Authentication and integrity use HMAC with 128-bit key for OTA model updates and Bluetooth beacons (QR code on the machine provides the session key out‑of‑band). User 2FA examples use FIDO2 USB token and standards cited include ETSI EN 303645, NIST 8259 and IEC 62443.
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chapters (7)
- 0:00Introduction and agenda
- 1:46Supervised machine learning
- 3:04Condition monitoring application
- 7:00Demonstrator and ML models
- 24:32Security standards and risks
- 26:03Authentication best practices
- 39:59Q&A and closing
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