Device population anomaly detection
An embodiment establishes a network model based at least in part on network data received from a network, wherein the network data comprises device data and certificate data. The embodiment samples the network to receive a network data sample. The embodiment compares the network data sample to the network model to determine whether an anomalous amount of devices is present in the network. The embodiment compares the network data sample to the network model to determine whether an anomalous amount of certificates is present in the network. The embodiment identifies a device population anomaly upon a determination that an anomalous amount of devices and/or an anomalous amount of certificates is present in the network.
1. A computer-implemented method comprising:
establishing a network model based at least in part on network data received from a network, wherein the network data comprises device data and certificate data;
sampling the network to receive a network data sample;
comparing the network data sample to the network model to determine whether an anomalous amount of devices is present in the network;
upon a determination that an anomalous amount of devices is present in the network, comparing the network data sample to the network model to determine whether an anomalous amount of certificates is present in the network; and
upon a determination that an anomalous amount of certificates is present in the network, identifying a device population anomaly.
2. The computer-implemented method of claim 1 , wherein the method further comprises executing a responsive action upon identification of the device population anomaly.
3. The computer-implemented method of claim 1 , wherein the device data comprises at least one of a number of registered devices, a number of connected devices, a number of idle devices, a number of suspended devices, and a number of deprovisioned devices.
4. The computer-implemented method of claim 1 , wherein the certificate data comprises at least one of a number of validated certificates, a number of revoked certificates, a number of created certificates, and a number of renewed certificates.
5. The computer-implemented method of claim 2 , wherein the responsive action comprises generating and transmitting an alert related to the identification of the device population anomaly.
6. The computer-implemented method of claim 2 , wherein the responsive action comprises identifying a set of suspicious devices connected to the network and removing the set of suspicious devices from the network.
7. The computer-implemented method of claim 2 , wherein the responsive action comprises isolating a segment of the network.
8. A computer program product comprising one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by a processor to cause the processor to perform operations comprising:
establishing a network model based at least in part on network data received from a network, wherein the network data comprises device data and certificate data;
sampling the network to receive a network data sample;
comparing the network data sample to the network model to determine whether an anomalous amount of devices is present in the network;
upon a determination that an anomalous amount of devices is present in the network, comparing the network data sample to the network model to determine whether an anomalous amount of certificates is present in the network; and
upon a determination that an anomalous amount of certificates is present in the network, identifying a device population anomaly.
9. The computer program product of claim 8 , wherein the program instructions are stored in a computer readable storage device in a data processing system, and wherein the program instructions are transferred over the network from a remote data processing system.
10. The computer program product of claim 8 , wherein the program instructions are stored in a computer readable storage device in a server data processing system, and wherein the program instructions are downloaded in response to a request over the network to a remote data processing system for use in a computer readable storage device associated with the remote data processing system, the operations further comprising:
metering a use of the program instructions associated with the request; and
generating an invoice based on the metered use.
11. The computer program product of claim 8 further comprises executing a responsive action upon identification of the device population anomaly.
12. The computer program product of claim 11 , wherein the responsive action comprises generating and transmitting an alert related to the identification of the device population anomaly.
13. The computer program product of claim 11 , wherein the responsive action comprises identifying a set of suspicious devices connected to the network and removing the set of suspicious devices from the network.
14. The computer program product of claim 11 , wherein the responsive action comprises isolating a segment of the network.
15. The computer program product of claim 8 , wherein the certificate data comprises at least one of a number of validated certificates, a number of revoked certificates, a number of created certificates, and a number of renewed certificates.
16. The computer program product of claim 8 , wherein the device data comprises at least one of a number of registered devices, a number of connected devices, a number of idle devices, a number of suspended devices, and a number of deprovisioned devices.
17. A computer system comprising a processor and one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by the processor to cause the processor to perform operations comprising:
establishing a network model based at least in part on network data received from a network, wherein the network data comprises device data and certificate data;
sampling the network to receive a network data sample;
comparing the network data sample to the network model to determine whether an anomalous amount of devices is present in the network;
upon a determination that an anomalous amount of devices is present in the network, comparing the network data sample to the network model to determine whether an anomalous amount of certificates is present in the network; and
upon a determination that an anomalous amount of certificates is present in the network, identifying a device population anomaly.
18. The computer system of claim 17 , further comprises executing a responsive action upon identification of the device population anomaly.
19. The computer system of claim 18 , wherein the responsive action comprises isolating a segment of the network.
20. The computer system of claim 18 , wherein the responsive action comprises identifying a set of suspicious devices connected to the network and removing the set of suspicious devices from the network.