Thank you for the dissection. To make it simple, let’s say a letter from the authorities (not the service provider) arrives at a farmer. What would such a letter have as information to identify that there is illicit content on the device, and how does this letter connect the device to the farmer?
Before we think in creating a technology solution let’s get the requirements clear of what we are trying to solve. Let’s brainstorm (list is not meant to be exhaustive, us the first things that come to mind):
Identify the node / farmer:
“authorities were monitoring the network traffic of the ISP of the farmer and have found, unencrypted traffic that contains something that cannot be.”
Ok - so that seems reasonable and possible. But only if the farmer provides public IP addresses. Because all traffic between (VM’s) on nodes that do not have public IP addresses to rent (so in other words all devices behind a NAT) use encrypted, tunnelled, point-to-point wireguard / planetary networking. So this cannot be intercepted (and read) by the authorities. So we are talking about a subset of farmers that are potentially going to see this.
So the letter can be addressed to the owner of the IP address as traffic from his IP address contains (unencrypted) illicit content. How do we match IP addresses to specific farmers? IPaddresses are bought and owned or rented. So in the end (with more steps in between here the owner of the IP addresses will receive this letter, and this might be the owner of the IP addresses or the person renting them.
Good - so the letter arrives. What does it state with regards to what was monitored.
- a username of the person doing illicit online activities?
 - an IPv4 address of the application that “processed” the illicit content?
 - an IPv4 address of the VM on which the application ran “processing” illicit content.
 
There is really nothing more that they can see when they monitor / filter network traffic. So now the farmer/someone needs to go and see which contract is using that specific IP address.
So we have a query tool to query TF Chain, and this has a lot of functionality to query the chain.  For example to query what contracts are active for a specific node (8) and are using 1 or more IP addresses:
query MyQuery {
  nodeContracts(where: {numberOfPublicIPs_gt: 0, nodeId_eq: 8}) {
    contractId
    numberOfPublicIPs
  }
}
presenting:
{
  "data": {
    "nodeContracts": [
      {
        "contractId": 97,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 159,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 202,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 284,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 289,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 291,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 737,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 850,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 861,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 883,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 879,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 885,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 882,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 891,
        "numberOfPublicIPs": 1
      },
      {
        "contractId": 892,
        "numberOfPublicIPs": 1
      }
    ]
  }
}
And per contract you can find out the IP’s used:
{
  "data": {
    "publicIps": [
      {
        "contractId": 885,
        "ip": "185.69.166.150/24"
      }
    ]
  }
}
So if IP 185.69.166.150 was mentioned in the letter we now know that contract 885 is the one breaking the rules.
Finding out more about the contract:
query MyQuery {
  nodeContracts(where: {contractId_eq: 885}) {
    resourcesUsed {
      cru
      mru
      hru
      sru
    }
    createdAt
    createdById
    id
    nodeId
    deploymentData
    state
    twinId
    updatedAt
    updatedById
    version
    contractId
  }
This provides us with:
{
  "data": {
    "nodeContracts": [
      {
        "resourcesUsed": {
          "cru": "4",
          "mru": "8589934592",
          "hru": 0,
          "sru": "53687091200"
        },
        "createdAt": "2022-04-05T11:54:36.000Z",
        "createdById": "SddLDONB-l",
        "id": "X9idA_uWF",
        "nodeId": 8,
        "deploymentData": "0x",
        "state": "Created",
        "twinId": 3983,
        "updatedAt": "2022-04-05T11:55:32.159Z",
        "updatedById": null,
        "version": 4,
        "contractId": 885
      }
    ]
  }
}
Which presents twin 3983 as the contract owner. we also see that the contract is for
          "cru": "4",
          "mru": "8589934592",
          "hru": 0,
          "sru": "53687091200"
which is 2CU and 50GB of SSD space.  So sherlocking our way from the IP address we now know 3983 is doing it.
query MyQuery {
  twins(where: {twinId_eq: 3983}) {
    accountId
    createdAt
    createdById
    deletedAt
    deletedById
    gridVersion
    id
    ip
    twinId
    updatedAt
    updatedById
    version
  }
}
provides
{
  "data": {
    "twins": [
      {
        "accountId": "5DZrBLxL3XKA2DAefpxZbRpTgQ64egGDV86AkTitSvTqujsF",
        "createdAt": "2022-04-05T09:16:48.000Z",
        "createdById": "gvMlq7xSwV",
        "deletedAt": null,
        "deletedById": null,
        "gridVersion": 1,
        "id": "JhBnEeFCQ",
        "ip": "127.0.0.1",
        "twinId": 3983,
        "updatedAt": "2022-04-05T09:16:48.000Z",
        "updatedById": null,
        "version": 1
      }
    ]
  }
}
So we can find which contract and which twin (individual) is involved in the detected activities, now we need to look at what to do with that info.
- contact 
3983? - cancel contract 
885without notifying3983 - cancel contract 
885with notifying3983 - send information to the authorities that 
3983is the one to send the letter to. 
      
    

 the effort and results.  Now it’s time to condense what was discussed into a one-pager that we agree describes the identified problems.