Systems and methods for measuring peer influence on a child
View Patent ↗The disclosed computer-implemented method for measuring peer influence on a child may include (i) monitoring computing activity on at least one endpoint device of a child to identify (a) baseline behaviors that indicate expected behavior patterns of the child (b) an unusual behavior of the child that indicates a deviation from the baseline behaviors, (ii) identifying, based at least in part on the monitored computing activity, a peer of the child associated with the unusual behavior, (iii) determining, based at least in part on a comparison between the baseline behaviors and the unusual behavior, a level of influence the peer has on the child, and then (iv) performing a computing security action that prevents the child from engaging in potentially harmful behaviors by providing, to a guardian of the child, the level of influence of the peer. Various other methods, systems, and computer-readable media are also disclosed.
1. A computer-implemented method for measuring peer influence on a child, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising:
monitoring computing activity on at least one endpoint device of the child to identify:
baseline behaviors that indicate expected behavior patterns of the child; and
an unusual behavior of the child that indicates a deviation from the baseline behaviors;
identifying, based at least in part on the monitored computing activity, a peer of the child associated with the unusual behavior;
determining, based at least in part on a comparison between the baseline behaviors and the unusual behavior, a level of influence the peer has on the child; and
performing a computing security action that prevents the child from engaging in potentially harmful behaviors by providing, to a guardian of the child, the level of influence of the peer.
2. The method of claim 1 , wherein:
monitoring the computing activity on the endpoint device of the child comprises monitoring computing activity on multiple endpoint devices of the child; and
identifying the peer of the child comprises analyzing concurrent computing activities detected on the multiple endpoint devices.
3. The method of claim 1 , wherein monitoring the computing activity on the endpoint device of the child comprises at least one of:
monitoring online resources the child accesses via the endpoint device;
monitoring communications distributed via the endpoint device; and
monitoring geographic locations visited by the child based on a geolocation service of the endpoint device.
4. The method of claim 1 , wherein identifying the baseline behaviors of the child comprises at least one of:
identifying behaviors of the child that are associated with multiple peers; and
recording computing activity detected on the endpoint device for a predetermined amount of time and identifying recurring behaviors of the child based on the recorded computing activity.
5. The method of claim 1 , wherein identifying the unusual behavior of the child comprises detecting at least one of:
a behavior associated with a particular peer rather than multiple peers;
a novel behavior of the child not identified within the baseline behaviors; and
a change in a frequency of a baseline behavior of the child.
6. The method of claim 1 , wherein identifying the peer of the child associated with the unusual behavior comprises identifying an individual located within a same geographic location as the child while the child performs the unusual behavior.
7. The method of claim 1 , wherein identifying the peer of the child associated with the unusual behavior comprises identifying an individual that is not located within a same geographic location as the child but that is in communication with the child while the child performs the unusual behavior.
8. The method of claim 1 , wherein determining the level of influence the peer has on the child comprises quantifying a degree to which the unusual behavior deviates from the baseline behaviors of the child.
9. The method of claim 1 , wherein determining the level of influence the peer has on the child comprises determining whether the peer has a positive influence or a negative influence on the child.
10. The method of claim 1 , wherein providing the level of influence of the peer to the guardian of the child comprises displaying the level of influence of the peer within a graphical user interface of an endpoint device of the guardian.
11. The method of claim 1 , wherein performing the computing security action that prevents the child from engaging in potentially harmful behaviors further comprises preventing the endpoint device of the child from facilitating the unusual behavior.
12. A system for measuring peer influence on a child, the system comprising:
a monitoring module, stored in memory, that monitors computing activity on at least one endpoint device of the child to identify:
baseline behaviors that indicate expected behavior patterns of the child; and
an unusual behavior of the child that indicates a deviation from the baseline behaviors;
an identification module, stored in memory, that identifies, based at least in part on the monitored computing activity, a peer of the child associated with the unusual behavior;
a determination module, stored in memory, that determines, based at least in part on a comparison between the baseline behaviors and the unusual behavior, a level of influence the peer has on the child;
a security module, stored in memory, that performs a computing security action that prevents the child from engaging in potentially harmful behaviors by providing, to a guardian of the child, the level of influence of the peer; and
at least one physical processor configured to execute the monitoring module, the identification module, the determination module, and the security module.
13. The method of claim 12 , wherein:
the monitoring module monitors the computing activity on the endpoint device of the child by monitoring computing activity on multiple endpoint devices of the child; and
the identification module identifies the peer of the child by analyzing concurrent computing activities detected on the multiple endpoint devices.
14. The system of claim 12 , wherein the monitoring module monitors the computing activity on the endpoint device of the child by at least one of:
monitoring online resources the child accesses via the endpoint device;
monitoring communications distributed via the endpoint device; and
monitoring geographic locations visited by the child based on a geolocation service of the endpoint device.
15. The system of claim 12 , wherein the monitoring module identifies the baseline behaviors of the child by at least one of:
identifying behaviors of the child that are associated with multiple peers; and
recording computing activity detected on the endpoint device for a predetermined amount of time and identifying recurring behaviors of the child based on the recorded computing activity.
16. The system of claim 12 , wherein the monitoring module identifies the unusual behavior of the child by detecting at least one of:
a behavior associated with a particular peer rather than multiple peers;
a novel behavior of the child not identified within the baseline behaviors; and
a change in a frequency of a baseline behavior of the child.
17. The system of claim 12 , wherein the identification module identifies the peer of the child associated with the unusual behavior by identifying an individual located within a same geographic location as the child while the child performs the unusual behavior.
18. The system of claim 12 , wherein the identification module identifies the peer of the child associated with the unusual behavior by identifying an individual that is not located within a same geographic location as the child but that is in communication with the child while the child performs the unusual behavior.
19. The system of claim 12 , wherein the determination module determines the level of influence the peer has on the child by quantifying a degree to which the unusual behavior deviates from the baseline behaviors of the child.
20. A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to:
monitor activity on at least one endpoint device of a child to identify:
baseline behaviors that indicate expected behavior patterns of the child; and
an unusual behavior of the child that indicates a deviation from the baseline behaviors;
identify, based at least in part on the monitored computing activity, a peer of the child associated with the unusual behavior;
determine, based at least in part on a comparison between the baseline behaviors and the unusual behavior, a level of influence the peer has on the child; and
perform a computing security action that prevents the child from engaging in potentially harmful behaviors by providing, to a guardian of the child, the level of influence of the peer.