The way to get began with the brand new Disconnected Period metric in AWS IoT gadget defender



The brand new Disconnected Period in AWS IoT Machine Defender now supplies Machine Defender Detect prospects the power to watch Web of Issues (IoT) gadget’s connectivity standing and length of disconnection. Till now, prospects needed to depend on customized self-managed options, utilizing AWS Lambda or Amazon CloudWatch, and Join/Disconnect occasion messages from AWS IoT Core occasion messages lifecycle occasion messages.

With the brand new Disconnected Period metric, prospects can react to a tool disconnection primarily based on a specified disconnection interval threshold configured in AWS IoT Machine Defender. Monitoring this metric will help you perceive the well being of your fleet. Gadgets which have been disconnected for lengthy durations of time could have grow to be susceptible as a result of not receiving updates and pose a safety threat, or not work correctly when counting on different techniques which have since advanced. Prospects may also apply the Disconnect Period to beat many gadget fleet administration challenges, comparable to shifting a tool, that has been disconnect for a protracted time frame, to a particular group of decommissioned or misplaced gadgets. In functions the place distant belongings not often join, you may apply this metric to outline whether or not a upkeep group needs to be deployed to the placement or not. AWS IoT Machine Defender can be utilized along with AWS IoT Machine administration, the place you should use Fleet indexing to create queries that report which gadgets are disconnect and for the way lengthy. By figuring out the disconnected gadgets you may then outline Dynamic teams or begin Mitigation actions, addressing fleet administration necessities, in addition to safety compliance.

On this weblog put up, you’ll discover ways to configure a Safety profile in AWS IoT Machine Defender utilizing the brand new Disconnect Period metric, and ship a message to Amazon Easy Notification Service (SNS) when a violation is detected. Additionally, you will use Amazon Easy Queue Service (SQS) to obtain and visualize the message from the SNS subject. Along with that, you’ll discover ways to question for gadgets which are in violation utilizing Fleet indexing and methods to create Dynamic teams for these gadgets.


The structure diagram under, illustrates the move of messages of the pattern answer outlined on this weblog put up:

1- The Simulated gadget connects after which disconnects.

2- After 5 minutes, the disconnected gadget will increase an anomalous conduct alert on the Safety Profile.

3- The alert notification service will publish a message to the outlined SNS subject.

4- The SQS queue is subscribed to the SNS subject and it’ll obtain the message.

5- Utilizing an advance fleet indexing search, you’ll return the issues below violation within the chosen safety profile.

6- From the search, you’ll then outline a Dynamic issues group which can mechanically index and group issues matching the search standards.

Determine 1 – Overview diagram


  • An AWS account with entry and permission to carry out motion on AWS IoT Core, AWS IoT Machine Defender and AWS IoT Machine Administration.
  • AWS Id and Entry administration (IAM) permission to create and assign roles in AWS IoT Core.
  • AWS Id and Entry administration (IAM) permission to create SNS matters and SQS queues.
  • Entry to AWS CloudShell and fundamental information on Linux and AWS Command Line Interface (AWS CLI).


Making a SNS subject and a SQS subscription

Right here you’ll create the SNS subject and the SQS subscription for the subject the place the violation notification will get printed to.

1- Go to SNS, then navigate to the left facet menu, Choose Matters then create a subject.

  • Choose Commonplace.
  • Title – Disconnected_things_notification.
  • Go away all different configurations as default and click on Create subject. Be aware: You’ll use the default entry coverage that solely permits the subject proprietor to subscribe to it.

2- Go to SQS, then navigate to the left facet menu, Choose Queues then create a queue.

  • Choose Commonplace.
  • Title – Disconnect_thing_notification_queue.
  • Go away all the opposite configurations as default, then click on Create queue. Be aware: You’ll use the default entry coverage that solely permits messages from the queue proprietor.
    Within the subsequent menu navigate all the way down to SNS subscription, then click on on Subscribe to Amazon SNS subject, selected Disconnected_things_notification, then save.

Making a safety profile

Subsequent you’ll create a Safety profile which defines what is taken into account an anomalous conduct. You’ll be able to mix AWS IoT Machine Defender metrics, customized metrics and dimensions in an effort to create an acceptable detection mannequin primarily based in your use case. Within the instance under, we’ll solely make the most of the brand new Disconnected Period metric, to study extra about how metrics will be mixed successfully, learn the Safety use circumstances phase within the documentation.

1- Go to AWS IoT Core, then navigate to the left facet menu, Choose Safety→ Detect→ Safety Profiles, Now click on on Create Safety Profile and choose Create Rule-based anomaly Detect profile.

2- Within the Specify safety profile properties menu configure the next:

  • Title – Disconnect_duration_5m
  • Goal – A goal group, you may choose a gaggle or a number of, on this instance you’ll be focusing on all registered issues.
  • Position – Create a brand new function.
  • Set SNS configuration, choose the beforehand created subject, Disconnected_things_notification.
  • Within the SNS Position, choose create a brand new function.
  • Click on Subsequent.

3- Within the Outline metric behaviors menu do the next:

  • Below Cloud-side metricsSearch and choose Disconnect Period below Cloud-side metrics.
  • Metric Conduct – Choose Alert me.
  • Conduct identify – Disconnect_duration_5m.
  • Within the logic fields, use Disconnect_duration is bigger than or equal – 5 minutes, which means any gadget which is disconnected for five minutes or extra will likely be thought of anomalous.
  • Click on Subsequent.
  • Evaluate your configuration and click on on Create.

The determine under is an instance of how your Metric conduct configuration will appear like.

Figure 2 - Configure metric behavior menu

Determine 2 – Configure metric conduct menu

Simulating an anomalous gadget

1- First you’ll create an AWS IoT Core factor that will likely be used to simulate a tool that has been disconnected for greater than 5 minutes and detected as anomalous by your safety profile.
Go to AWS IoT Core, then navigate to the left facet menu, Choose Handle→ All gadgets→ Issues. Now click on on Create issues.

  • Choose Create a single factor and click on Subsequent.
  • Title your factor test_thing, depart all the opposite configurations as default, then click on Subsequent.
  • Choose Auto-generate a brand new certificates, then click on Subsequent.
  • You may be prompted with the Insurance policies menu, when you don’t have a coverage, create one with the next configuration:
 "Model": "2012-10-17",
 "Assertion": [
 "Effect": "Allow",
 "Action": "iot:Connect",
 "Resource": "arn:aws:iot:<your-region>;:<your-account-id>:client/test_thing"
  • Navigate again to the earlier menu, refresh and fix the created coverage, then Create factor. Obtain and save the non-public key, public key and gadget certificates and click on finished, you’ll use these recordsdata on the next steps.

2- On this step you’ll be utilizing AWS CloudShell to put in and run a pattern utilizing the AWS IoT Machine SDK v2 for Python , nevertheless be at liberty to make use of another AWS IoT Machine SDK and your most well-liked IDE platform.

Go to AWS CloudShell, as soon as the CLI has initialize, execute the next instructions:

python3 -m pip set up awsiotsdk
git clone

3- Subsequent, add the non-public key and gadget certificates that you simply downloaded when the AWS IoT core factor was created.

  • On the highest proper, click on on the Actions menu, choose add recordsdata, choose the important thing file and add it, then repeat with the certificates file. Be aware: the recordsdata are uploaded and positioned into the /dwelling/cloudshell-user listing.

4 – Now you’ll begin the simulation by working one of many pattern Python scripts.
From /dwelling/cloudshell-user execute the next instructions:

aws iot describe-endpoint --endpoint-type iot:Information-ATS

Pay attention to the endpoint worth, you want it within the subsequent step.

python3 ~/aws-iot-device-sdk-python-v2/samples/ --endpoint <your-iot-core-ats-endpoint> --cert <downloaded-cert-path> --key <downloaded-key-path> --client_id test_thing

If the pattern executes efficiently you will notice the next outputs:

Connecting to <your-iot-enpoint-here>-ats.iot.<your-region> with consumer ID ‘test_thing’…

Confirming violation

After working the simulation, you may examine if the violation has been detected by your safety profile. Be aware that AWS IoT Machine Defender safety profiles could take a couple of minutes to publish a violation.

1- Now navigate to SQS, Choose Queues, and the queue you created within the earlier steps. Navigate to the highest proper menu and choose Ship and obtain messages, then on the Obtain message menu, Ballot for messages. You’ll have a message obtainable, and the physique will look just like the picture under, by utilizing this methodology you may combine AWS IoT Machine Defender violation alerts with a number of AWS Companies.

Figure 3- Violation notification message

Determine 3- Violation notification message


2- You may also visualize for the way lengthy an anomalous gadget has been disconnected. Go to AWS IoT Core, then navigate to the left facet menu, Choose Handle→ All gadgets → Issues.

  • Choose the factor you created within the earlier steps, test_thing.
  • Navigate to Defender metrics below Metric, choose Disconnect Period.

You will note an identical chart as under, indicating when and for the way lengthy your gadget has been disconnected. You should utilize the instructions from above to attach and disconnect your simulated gadget once more and observe how the reported metrics change. Take note the disconnect metric experiences in increments of 5 minutes, and isn’t up to date in actual time

Figure 4 - Defender metric - disconnected duration

Determine 4 – Defender metric – disconnected length


The Disconnect length metric can also be obtainable by means of the list-metrics-values AWS CLI command. You should utilize the next command to question the metric:

STARTTIME=$(date -u +%Y-%m-%dTpercentH:%M:%SZ -d "5 minutes in the past")
ENDTIME=$(date -u +%Y-%m-%dTpercentH:%M:%SZ)
aws iot list-metric-values --thing-name test_thing --start-time $STARTTIME --end-time $ENDTIME --metric-name aws:disconnect-duration

The command will return an output with the most recent metric replace, just like the instance under:

    "metricDatumList": [
            "timestamp": "2023-07-19T14:30:00+00:00",
            "value": {
                "count": 10

Looking for gadgets in violation and creating dynamic teams

Earlier than you seek for a tool in violation, you could be sure that Fleet indexing has been enabled for Machine defender. To examine that, go to AWS IoT Core, then navigate to the left facet menu, choose Settings, navigate to Fleet indexing, click on on Handle indexing, within the new menu search and choose Add Machine Defender violations. The Fleet indexing service will begin indexing all values within the background, which could take a couple of minutes.

1- Go to AWS IoT Core, then navigate to the left facet menu, Choose Handle→ All gadgets→ Issues.

  • Click on on Superior search.
  • Within the Question search subject use the next assertion: deviceDefender.Disconnect_duration_5m.*.inViolation:true
  • This question will return all gadgets in violation below the Disconnect_duration_5m profile. When you adopted the walkthrough you will notice the your test_thing within the end result checklist, as proven within the determine under.
  • Now click on on Save question.
Figure 5 - Advanced thing search result

Determine 5 – Superior factor search end result


2 – Go to AWS IoT Core, then navigate to the left facet menu, Choose Handle→ All gadgets →Factor teams , then Create issues group:

  • Choose Create dynamic.
  • Factor group identify – Disconnected_things.
  • Below Question, click on on Use saved question, then choose the saved question from the earlier step, deviceDefender.Disconnect_duration_5m.*.inViolation:true .
  • Click on on Create factor group.

Inside just a few seconds you will notice your factor as a part of the group, as proven within the determine under. By making use of Dynamic grouping you may remedy various use circumstances, for instance defining steady Jobs to the Dynamic group will drive updates to these gadget if they arrive again on-line, ensuring they’re compliant and updated. You may also use Dynamic group for fleet administration duties, as an example a tool which have been disconnected for greater than 30 days will be deemed misplaced or decommissioned and added to a factor group which not receives updates or denies join actions.

Figure 6 - Dynamic things group

Determine 6 – Dynamic issues group

Clear up

As a way to keep away from incurring price do the next:

  • Delete the safety profile Disconnect_duration_5m.
  • Delete the test_thing factor and its certificates.
  • Delete the Disconnect_things group.
  • Flip off Machine Defender violations in Fleet indexing.
  • Delete each the SNS subject and SQS queue created throughout the walkthrough.


On this put up, you realized methods to use the brand new AWS IoT Machine Defender Disconnect length metric to watch gadgets with anomalous disconnection (or disconnect time) behaviors. You additionally realized how this is applicable for safety and gadget administration use circumstances, and by utilizing the safety profile native integration with SNS, you may create event-driven actions. Lastly, you used Fleet indexing for search and Dynamic grouping, and realized how one can apply it for computerized fleet actions and updates with Jobs. For extra in depth have a look at creating with AWS IoT Machine Defender, check with this tutorial, Getting began with AWS IoT Machine Defender.

In regards to the Writer

Yuri Chamarelli is an Amazon Internet Companies IoT specialist Resolution Architect primarily based out of Denver. As an IoT specialist, he focuses on serving to prospects construct with AWS IoT and attain their enterprise outcomes. With a background on Controls engineering and over 10 years of expertise in IT/OT techniques he has helped a number of prospects with Industrial transformation and Industrial automation tasks all through many industries.





Andre Sacaguti is a Sr. Product Supervisor-Tech at AWS IoT. Andre focuses on constructing services that assist gadget makers, automotive producers, and IoT prospects from various industries to watch and safe their gadgets from edge to cloud. Earlier than AWS, Andre constructed and launched IoT merchandise at T-Cell and Qualcomm.