The Internet of Things on AWS – Official Blog

Tag: Machine learning with IoT

Detect Cryptocurrency Mining Threats on Edge Devices using AWS IoT

Introduction Machine learning (ML) at the edge requires powerful edge requires powerful edge devices with a unique set of requirements. The availability, safety, and security requirements for the edge differ from cloud since they are located at the customer site, outside the data center, and interface directly with operational technology (OT) and the internet. Since […]

This image shows what happens when you Click over to the History tab in the AWS IoT Device Defender console. You can see all the alarm events that occurred over the past 24 hours (you can select additional options from drop down to display up to 30 days. The green line represents alarms cleared and red indicates devices still in alarm. Hovering over the lines and dots, you can see the date, time, and status of the alarms during this timestamp.

AWS IoT Device Defender Announces ML Detect GA

Today, AWS announced the general availability of AWS IoT Device Defender Machine Learning Detect and Mitigation (ML Detect), a new feature that automatically detects IoT device-level operational and security anomalies based on learnings from past device data. Customers can already use AWS IoT Device Defender’s Rules Detect feature to manually set static alarms. ML Detect […]