Cyber attack prediction based on dark IP address space network traffic to plural client networks

1. A method comprising:

receiving, by a service, information regarding incoming network traffic addressed to dark Internet Protocol (IP) address spaces of a plurality of client networks, from client computing devices of the client networks;

predicting, by the service, a cyber attack based on the information received from the client computing devices of the client networks, including determining that the client networks that are receiving the incoming network traffic addressed to the dark IP address spaces thereof share a common characteristic in that the client networks belong to entities of a same industrial sector, the cyber attack unable to be predicted based on the incoming network traffic addressed to the dark IP address space of any one of the client networks; and

notifying, by the service, the client computing device of each client network sharing the common characteristic that the cyber attack is targeting the clients sharing the common characteristic.

2. The method of claim 1 , wherein the service notifies the client computing device of each client network sharing the common characteristic to institute network countermeasures.

3. The method of claim 1 , wherein each client network comprises an IP address space, including an in-use IP address space of in-use routable IP addresses and the dark IP address space of unused routable IP addresses.

4. The method of claim 3 , wherein the service receives, from the client computing device of each client network, the information regarding the incoming network traffic addressed to any unused routable IP address of the dark IP address space of the IP address space of the client network.

5. The method of claim 1 , wherein the information comprises minimally unprocessed information regarding the network traffic addressed to the dark IP address spaces of the client networks,

and wherein analysis of the minimally unprocessed information is centralized at the service, and collection of the minimally unprocessed information is decentralized over the client computing devices of the client networks.

6. The method of claim 1 , wherein the information comprises processed information regarding the network traffic addressed to the dark IP address spaces of the client networks,

and wherein analysis resulting in generation of the processed information is decentralized over the client computing devices of the client networks, further analysis being performed at the service to predict the cyber attack.

7. The method of claim 1 , wherein the information is anonymized at the client networks prior to transmission to the service.

8. The method of claim 2 , wherein the network countermeasures are to minimize success of the predicted cyber attack.

9. A non-transitory computer-readable data storage medium storing program code executable by a computing device of a client network to:

monitor a dark IP address space of the client network for incoming network traffic addressed to the dark IP address space of the client network;

transmit information regarding the incoming network traffic addressed to the dark IP address space to a service receiving information regarding incoming network traffic addressed to other dark IP address spaces of other client networks;

receive a notification from the service, the notification comprising an indication that the client network is a source of a cyber attack, a target of the cyber network being one of the other client networks; and

institute a network countermeasure at the client network to correct a misconfiguration of the client network that caused the client network to be the source of the cyber attack.

10. The non-transitory computer-readable data storage medium of claim 9 , wherein the program code is executable by the computing device of the client network to further:

collect the incoming network traffic addressed to the dark IP address space of the client network,

wherein the information regarding the incoming network traffic addressed to the dark IP address space transmitted to the service comprises the collected incoming network traffic with minimal processing at the client network.

11. The non-transitory computer-readable data storage medium of claim 9 , wherein the program code is executable by the computing device of the client network to further:

perform preliminary analysis on the incoming network traffic addressed to the dark IP address space of the client network,

wherein the information regarding the incoming network traffic addressed to the dark IP address space transmitted to the service comprises result of the performed preliminary analysis.

12. The non-transitory computer-readable data storage medium of claim 9 , wherein the client network comprises an IP address space, including an in-use IP address space of in-use routable IP addresses and the dark IP address space of unused routable IP addresses.

13. The non-transitory computer-readable data storage medium of claim 9 , wherein the program code is executable by the computing device to further anonymize the information prior to transmission to the service.

14. The non-transitory computer-readable data storage medium of claim 9 , wherein the cyber attack is unable to be predicted based on the incoming network traffic addressed to the dark IP address space of any one of the client networks.

15. A computing device comprising:

network hardware to communicatively connect to a plurality of client computing devices of a respective plurality of client networks;

a processor;

a memory storing program code that the processor is to execute to:

receive information regarding incoming network traffic addressed to dark IP address spaces of the client networks, from the client computing devices;

predict a cyber attack based on the received information, including determining that the client networks that are receiving the incoming network traffic addressed to the dark IP address spaces thereof share a common characteristic in that the client networks belong to entities of a same industrial sector, the cyber attack unable to be predicted based on the incoming network traffic addressed to the dark IP address space of any one of the client networks; and

notify the client computing device of each client network sharing the common characteristic that the cyber attack is targeting the clients sharing the common characteristic.

16. The computing device of claim 15 , wherein the information comprises minimally unprocessed information regarding the network traffic addressed to the dark IP address spaces of the client networks,

and wherein collection of the minimally unprocessed information is decentralized over the client computing devices of the client networks.

17. The computing device of claim 15 , wherein each client network comprises an IP address space, including an in-use IP address space of in-use routable IP addresses and the dark IP address space of unused routable IP addresses.

18. The computing device of claim 17 , wherein the processor is to execute the program code to further receive, from the client computing device of each client network, the information regarding the incoming network traffic addressed to any unused routable IP address of the dark IP address space of the IP address space of the client network.

19. The computing device of claim 15 , wherein the processor is to execute the program code to further notify the client computing device of each client network sharing the common characteristic to institute network countermeasures.

20. The computing device of claim 19 , wherein the network countermeasures are to minimize success of the predicted cyber attack.