System and method for self-clustering edge computing protection

1 . A system for self-clustering edge computing, the system comprising:

at least one non-transitory storage device comprising computer-readable code; and

at least one processing device coupled to the at least one non-transitory storage device, wherein the computer-readable code is configured to cause the at least one processing device to:

detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a network environment;

extract information associated with the change in the network security protocol associated with the first node or device;

transmit instructions to the first node or device to broadcast the change and underlying security issue to one or more adjacent nodes or devices;

determine a first set of changes to the network security protocols for the one or more adjacent nodes or devices based on device similarity and network topology distance between the first node or device and the one or more adjacent nodes or devices and causes the one or more adjacent nodes or devices to begin sharing real-time data analytics information with the first node or device, wherein determining the first set of changes comprises:

classifying, using a machine learning model, the change in the network security protocol associated with the first node into one or more classes;

retrieving one or more preset changes to the network security protocols associated with the one or more classes; and

determining the first set of changes to the network security protocols for the one or more adjacent nodes or devices from the one or more preset changes;

automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes or devices; and

implement a second set of changes on the first node or device and the adjacent nodes or devices contemporaneously based on changes in the real-time data analytics information.

2 . The system of claim 1 , wherein adjacent nodes or devices further comprise nodes or devices which are one degree of separation from the first node or device.

3 . The system of claim 1 , wherein adjacent nodes or devices further comprise nodes or devices which are a same degree of separation from public devices as the first node or device.

4 . The system of claim 1 , wherein the computer-readable code is further configured to cause the at least one processing device to:

identify one or more adjacent nodes or devices with a second degree of separation from the first node or device in response to detecting the change;

determine a second set of changes to the network security protocols for the one or more adjacent nodes or devices with the second degree of separation from the first node or device based on at least the information associated with the change in the network security protocol of the first node or device and the first set of changes implemented to the network security protocols of the one or more adjacent nodes or devices with the first degree of separation from the first node or device; and

automatically implement the second set of changes to the network security protocols of the one or more adjacent nodes or devices with the second degree of separation from the first node.

5 . A computer program product for self-clustering edge computing, the computer program product comprising a non-transitory computer-readable medium comprising code causing a first apparatus to:

detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a network environment;

extract information associated with the change in the network security protocol associated with the first node or device;

transmit instructions to the first node or device to broadcast the change and underlying security issue to one or more adjacent nodes or devices;

determine a first set of changes to the network security protocols for the one or more adjacent nodes or devices based on device similarity and network topology distance between the first node or device and the one or more adjacent nodes or devices and causes the one or more adjacent nodes or devices to begin sharing real-time data analytics information with the first node or device, wherein determining the first set of changes comprises:

classifying, using a machine learning model, the change in the network security protocol associated with the first node into one or more classes;

retrieving one or more preset changes to the network security protocols associated with the one or more classes; and

determining the first set of changes to the network security protocols for the one or more adjacent nodes or devices from the one or more preset changes;

automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes or devices; and

implement a second set of changes on the first node or device and the adjacent nodes or devices contemporaneously based on changes in the real-time data analytics information.

6 . The computer program product of claim 5 , wherein adjacent nodes or devices further comprise nodes or devices which are one degree of separation from the first node or device.

7 . The computer program product of claim 5 , wherein adjacent nodes or devices further comprise nodes or devices which are a same degree of separation from public devices as the first node or device.

8 . The computer program product of claim 5 , wherein the at least one processing device is further configured to:

identify one or more adjacent nodes or devices with a second degree of separation from the first node or device in response to detecting the change;

determine a second set of changes to the network security protocols for the one or more adjacent nodes or devices with the second degree of separation from the first node or device based on at least the information associated with the change in the network security protocol of the first node or device and the first set of changes implemented to the network security protocols of the one or more adjacent nodes or devices with the first degree of separation from the first node or device; and

automatically implement the second set of changes to the network security protocols of the one or more adjacent nodes or devices with the second degree of separation from the first node.

9 . A method for self-clustering edge computing, the method comprising:

detect, using a node analysis engine, a change in a network security protocol associated with a first node within a distributed network;

detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a network environment;

extract information associated with the change in the network security protocol associated with the first node or device;

transmit instructions to the first node or device to broadcast the change and underlying security issue to one or more adjacent nodes or devices;

determine a first set of changes to the network security protocols for the one or more adjacent nodes or devices based on device similarity and network topology distance between the first node or device and the one or more adjacent nodes or devices and causes the one or more adjacent nodes or devices to begin sharing real-time data analytics information with the first node or device, wherein determining the first set of changes comprises:

classifying, using a machine learning model, the change in the network security protocol associated with the first node into one or more classes;

retrieving one or more preset changes to the network security protocols associated with the one or more classes; and

determining the first set of changes to the network security protocols for the one or more adjacent nodes or devices from the one or more preset changes;

automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes or devices; and

implement a second set of changes on the first node or device and the adjacent nodes or devices contemporaneously based on changes in the real-time data analytics information.

10 . The method of claim 9 , wherein adjacent nodes or devices further comprise nodes or devices which are one degree of separation from the first node or device.

11 . The method of claim 9 , wherein adjacent nodes or devices further comprise nodes or devices which are a same degree of separation from public devices as the first node or device.