Selectively governing internet of things devices via digital twin-based simulation

1. A computer-implemented method for selectively governing Internet of Things (IoT) devices on a network, comprising the computer-implemented steps of:

enrolling an IoT device and a user associated with the IoT device;

receiving functionality data and sensor data from the IoT device;

generating, using the received data, a digital twin-based simulation having a digital representation of the IoT device and user;

performing a plurality of what-if scenarios using a combination of existing devices of the user performing an activity in different situations within the digital twin-based simulation;

evaluating an efficacy of the user performing the activity in the different situations within the digital twin-based simulation using a previous cognitive analysis of the user while performing the activity;

identifying, based on the digital twin-based simulation, a potential distraction to the user arising from a function of the IoT device by observing an effect of the IoT device on the user within the digital twin-based simulation and identifying a what-if scenario in which the potential distraction exists based on the evaluating;

selecting a governance rule to avoid the potential distraction to the user; and

synchronizing the governance rule to the IoT device that modifies the function causing the potential distraction.

2. The computer-implemented method of claim 1 , further comprising automatically enrolling the IoT device connected to the network via a discovery process.

3. The computer-implemented method of claim 1 , further comprising:

generating, using the received data, a number of digital twin-based simulations related to a defined physical space; and

producing a hierarchy of proposed governing rules based on the number of digital twin-based simulations.

4. The computer-implemented method of claim 1 , further comprising identifying a potential distraction based on a presence of the user within a predefined geofence, wherein the user is performing an activity.

5. The computer-implemented method of claim 1 , further comprising outputting a warning to a user in a physical world in response to detecting, based on the digital twin-based simulation, that a predefined threshold related to an IoT device has been reached.

6. The computer-implemented method of claim 3 , further comprising selecting, via a user interface, a governing rule from among the hierarchy of proposed governing rules based on a user preference.

7. A system for selectively governing Internet of Things (loT) devices, comprising:

a memory medium comprising program instructions;

a bus coupled to the memory medium; and

a processor, for executing the program instructions, coupled to the memory medium that when executing the program instructions causes the system to:

enroll an IoT device and a user associated with the IoT device;

receive functionality data and sensor data from the IoT device;

generate, using the received data, a digital twin-based simulation having a digital representation of the IoT device and user;

perform a plurality of what-if scenarios using a combination of existing devices of the user performing an activity in different situations within the digital twin-based simulation;

evaluate an efficacy of the user performing the activity in the different situations within the digital twin-based simulation using a previous cognitive analysis of the user while performing the activity;

identify, based on the digital twin-based simulation, a potential distraction to the user arising from a function of the IoT device by observing an effect of the IoT device on the user within the digital twin-based simulation and identifying a what-if scenario in which the potential distraction exists based on the evaluating;

select a governance rule to avoid the potential distraction to the user; and

synchronize the governance rule to the IoT device that modifies the function causing the potential distraction.

8. The system of claim 7 , the memory medium further comprising instructions to automatically enroll the IoT device connected to the network via a discovery process.

9. The system of claim 7 , the memory medium further comprising instructions to:

generate, using the received data, a number of digital twin-based simulations related to a defined physical space; and

produce a hierarchy of proposed governing rules based on the number of digital twin-based simulations.

10. The system of claim 7 , the memory medium further comprising instructions to identify a potential distraction based on a presence of the user within a predefined geofence, wherein the user is performing an activity.

11. The system of claim 7 , the memory medium further comprising instructions to output a warning to a user in a physical world in response to detect, based on the digital twin-based simulation, that a predefined threshold related to an IoT device has been reached.

12. The system of claim 7 , the memory medium further comprising instructions to select a governing rule from among the hierarchy of proposed governing rules based on a user preference.

13. A computer program product for selectively governing Internet of Things (IoT) devices, the computer program product comprising a computer readable storage device, and program instructions stored on the computer readable storage device, to:

enroll an IoT device and a user associated with the IoT device;

receive functionality data and sensor data from the IoT device;

generate, using the received data, a digital twin-based simulation having a digital representation of the IoT device and user;

perform a plurality of what-if scenarios using a combination of existing devices of the user performing an activity in different situations within the digital twin-based simulation;

evaluate an efficacy of the user performing the activity in the different situations within the digital twin-based simulation using a previous cognitive analysis of the user while performing the activity;

identify, based on the digital twin-based simulation, a potential distraction to the user arising from a function of the IoT device by observing an effect of the IoT device on the user within the digital twin-based simulation and identifying a what-if scenario in which the potential distraction exists based on the evaluating;

select a governance rule to avoid the potential distraction to the user; and

synchronize the governance rule to the IoT device that modifies the function causing the potential distraction.

14. The computer program product of claim 13 , further comprising program instructions stored on the computer readable storage device to automatically enroll the IoT device connected to the network via a discovery process.

15. The computer program product of claim 13 , further comprising program instructions stored on the computer readable storage device to:

generate, using the received data, a number of digital twin-based simulations related to a defined physical space; and

produce a hierarchy of proposed governing rules based on the number of digital twin-based simulations.

16. The computer program product of claim 13 , further comprising program instructions stored on the computer readable storage device to identify a potential distraction based on a presence of the user within a predefined geofence, wherein the user is performing an activity.

17. The computer program product of claim 13 , further comprising program instructions stored on the computer readable storage device to output a warning to a user in a physical world in response to detect, based on the digital twin-based simulation, that a predefined threshold related to an IoT device has been reached.