Rogue base station router detection with statistical algorithms
The patent application is directed to a method for detecting a rogue device in a network including the step of providing an algorithm including predetermined criteria, executed by a processor, for identifying the rogue device. The method also includes a step of performing a cellular scan across the network. The method also includes a step of receiving, from the cellular scan, survey data including information of plural devices associated with the predetermined criteria. The method further includes a step of displaying, via a graphical user, a distribution curve including a calculated mean and a standard deviation based on the survey data for the predetermined criteria. The method also includes a step of comparing the information of one of the plural devices with statistically-calculated distribution curves. The method further includes a step of determining the compared information of the one device exceeds a predetermined threshold of standard deviations from a calculated mean and calculating a confidence level that the one device is a rogue device. The application is also directed to a system for testing and determining if a cellular attack on a communication system is active.
1. A method for detecting a rogue device in a network comprising:
providing an algorithm including predetermined criteria, executed by a processor, for identifying the rogue device;
performing a cellular scan across the network;
receiving, from the cellular scan, survey data including information of plural devices associated with the predetermined criteria;
displaying, via a graphical user interface (GUI), a distribution curve including a calculated mean and a calculated standard deviation based on the survey data corresponding to the predetermined criteria;
comparing the information of one device of the plural devices with the distribution curve;
determining that the compared information of the one device exceeds a predetermined threshold of standard deviations from the calculated mean; and
based on determining that the compared information of the one device exceeds the predetermined threshold, calculating a confidence level that the one device is the rogue device.
2. The method of claim 1 , wherein the survey data is decoded layer 3 broadcast channel data.
3. The method of claim 1 , wherein the predetermined criteria is selected from a global cell identifier (GCI), radio access technology (RAT), public land mobile network (PLMN), channel code, bands, signal strength, first and last seen on the network, and combinations thereof.
4. The method of claim 3 , wherein the distribution curve is based on one of the predetermined criteria.
5. The method of claim 1 , wherein the cellular scan is based on a single scan of the network.
6. The method of claim 1 , further comprising:
checking the compared information of the predetermined criteria related to a lower neighbor count and higher cell reselect order.
7. The method of claim 1 , wherein the calculating step includes determining a voting weight for the predetermined criteria that corresponds to the compared information of the one device that exceeds the predetermined threshold.
8. The method of claim 1 , further comprising:
notifying users on the network of the rogue device.
9. The method of claim 8 , wherein a notification is sent via text, email, browser, or combinations thereof.
10. The method of claim 1 , wherein the confidence level is continuously updated in view of repeating the cellular scan.
11. The method of claim 1 , wherein the one device is a cellular tower or dynamic base station router.
12. The method of claim 1 , further comprising:
displaying, on the GUI a list of the plural devices in the network each with an associated confidence level.
13. The method of claim 12 , further comprising:
displaying, on the GUI, a time of a first or last occurrence of the rogue device in the network; and
notifying users of the rogue device.