Other

Temporal Defense Systems, LLC

Ronald Lance Justin

Jennifer Lynn Ryan

Kerri Ann Stone

Mark Tucker

Jared Karro

Charles Elden

This application is directed to a method for detecting if a cellular attack from a rogue base station router (RBRS) on a cellular network is active. The method includes a step of surveying the network to obtain broadcast data. The method also includes a step of determining that a base station router (BSR) in the network is the RBSR based on execution of a machine learning algorithm using the broadcast data. The method also includes a step of determining that an event associated with a cellular attack is present in the network. The method further includes a step of determining that the cellular attack from the RBSR on the network is active based on the determined RBSR and the determined event associated with a cellular attack.

Rogue base station router detection with machine learning algorithms

One aspect of the patent application is directed to a method for detecting a rogue device in a network. The method 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 system information blocks (SIBs) associated with plural devices. The method also includes a step of decoding the SIBS of the devices. The method further includes a step of comparing the decoded SIBs with the predetermined criteria. The method even further includes a step of determining a threshold of the predetermined criteria has been met by the decoded SIBs associated with one of the plural devices. Yet even further, the method includes a step of calculating a confidence level based upon the met threshold of the one device. Lastly, the method includes a step of determining, based on the confidence level, the one device exhibits characteristics of the rogue device.

Rogue base station router detection with configurable threshold 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.

Rogue base station router detection with statistical algorithms

This application is directed to a method for detecting a rogue device in a network. The method includes a step of surveying the network. The method also includes a step of collecting broadcast data from cellular towers in the network based on the survey. The method also includes a step of distilling the collected broadcast data into abstract syntax notation one (ASN.1)-encoded system information blocks (SIBs) associated with plural devices. The method further includes a step of featurizing the ASN.1-encoded SIBs. The method even further includes a step of running the featurized, ASN.1-encoded SIBs through an unsupervised machine learning algorithm. The algorithm is executed by a processor to analyze all cells in the survey for the rogue device. Yet even further, the method includes a step of determining, based on the run, anomalous cells exhibiting characteristics of the rogue device from all cells in the survey.

Secure electronic access may be provided by receiving at least one electronic certificate from an electronic device seeking to access a secure resource at a device under protection including at least one security processor, the at least one certificate providing device information related to the security of the electronic device, and comparing with at least one autonomous processor of an autonomous system the device information to the security requirement information. The at least one autonomous processor may instruct the at least one security processor to provide the secure resource to the device when the device information meets the security requirement information. The device under protection may provide the secure resource to the electronic device in response to the instruction.

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Denver, CO, United States of America

Ronald Lance Justin