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11.
公开(公告)号:US20240107316A1
公开(公告)日:2024-03-28
申请号:US18472021
申请日:2023-09-21
Inventor: Yongdae Kim , Sangwook Bae , CheolJun Park , Beomseok Oh
IPC: H04W12/71 , H04W12/037
CPC classification number: H04W12/71 , H04W12/037
Abstract: Disclosed is a method and system for international mobile equipment identity (IMEI) verification and unauthorized terminal detection based on contents of control plane messages exchanged in a process of a terminal that accesses a commercial network in a mobile communication network and the method includes constructing a fingerprint database for each terminal using contents of a control plane message generated in a process of a terminal that accesses a commercial network and a response to the control plane message; and verifying IMEI for an arbitrary terminal that accesses the commercial network using the fingerprint database.
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公开(公告)号:US11745871B2
公开(公告)日:2023-09-05
申请号:US16726049
申请日:2019-12-23
Inventor: Yongdae Kim , Juhwan Noh , Yujin Kwon , Hocheol Shin , Dohyun Kim
IPC: B64C39/02 , G08G5/00 , G05D1/00 , B64U101/00
CPC classification number: B64C39/024 , G05D1/0055 , G08G5/006 , B64U2101/00 , B64U2201/104 , B64U2201/20
Abstract: Disclosed are an anti-drone method using a GPS spoofing signal and a system thereof. According to an embodiment of the inventive concept, an anti-drone method may include injecting a GPS spoofing signal to analyze a drone feature of a target drone and hijacking the target drone by injecting a GPS spoofing signal into the target drone based on a drone hijacking strategy corresponding to the analyzed drone feature among predefined drone hijacking strategies. The analyzing of the drone feature may include injecting the GPS spoofing signal to analyze a safety device mechanism (GPS fail-safe) and a path-following algorithm of the target drone.
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公开(公告)号:US20210364645A1
公开(公告)日:2021-11-25
申请号:US16983889
申请日:2020-08-03
Inventor: Yongdae Kim , Juhwan Noh , Jaehoon Kim , Dohyun Kim , Song Min Kim
Abstract: A method for detecting a GPS spoofing attack using a difference between output values of a GPS receiver, which is generated due to inaccuracy of a GPS spoofer, and an apparatus therefor are provided. The method includes receiving a GPS signal; and determining the received GPS signal as a GPS satellite signal or a GPS spoofing signal using a learning model learned based on a difference between output values of a GPS receiver. The method further includes labeling and collecting dispersion degree data including a position, a speed, and a time output from the GPS receiver with whether the GPS signal is the GPS satellite signal or the GPS spoofing signal and modeling the learning model using the collected data.
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