Invention Grant
- Patent Title: Rogue base station router detection with machine learning algorithms
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Application No.: US16817930Application Date: 2020-03-13
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Publication No.: US11323953B2Publication Date: 2022-05-03
- Inventor: Kerri Ann Stone , Ronald Lance Justin , Jennifer Lynn Ryan
- Applicant: CACI, Inc.—Federal
- Applicant Address: US VA Arlington
- Assignee: CACI, Inc.—Federal
- Current Assignee: CACI, Inc.—Federal
- Current Assignee Address: US VA Arlington
- Agency: BakerHostetler
- Agent Tayan B. Patel
- Main IPC: H04W48/00
- IPC: H04W48/00 ; H04W48/16 ; H04W12/12 ; H04W68/00 ; H04W24/08 ; G06N20/00 ; G06F3/02 ; G06K9/62 ; H04L29/06 ; H04L41/22 ; H04W84/04 ; H04L43/045 ; H04L43/16 ; H04W88/08

Abstract:
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.
Public/Granted literature
- US20200221374A1 ROGUE BASE STATION ROUTER DETECTION WITH MACHINE LEARNING ALGORITHMS Public/Granted day:2020-07-09
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