公开(公告)号：US20200213847A1

公开(公告)日：2020-07-02

申请号：US16559488

申请日：2019-09-03

Applicant: Gwangju Institute of Science and Technology

Inventor： Yong Gu LEE ,  Seung Tae KIM ,  Eui Seok HWANG

IPC: H04W12/06 ,  H04W12/04 ,  G06N7/00

Abstract: A method for authenticating a signal by using channel gain information of a transmitting apparatus and a receiving apparatus for authenticating a signal by using the channel gain information includes: estimating, by the transmitting apparatus, the channel gain information between the transmitting apparatus and the receiving apparatus by using a first signal received from the receiving apparatus; flipping, by the transmitting apparatus, an authentication key pre-shared with the receiving apparatus by using the channel gain information and requesting authentication by transmitting a second signal to respond to the first signal to the receiving apparatus by using a flipped first authentication key; estimating, by the receiving apparatus, the channel gain information by using the second signal received from the transmitting apparatus; and flipping, by the receiving apparatus, the pre-shared authentication key by using the channel gain information and authenticating the transmitting apparatus by using a flipped second authentication key.

公开(公告)号：US20230180002A1

公开(公告)日：2023-06-08

申请号：US17840672

申请日：2022-06-15

Applicant: Gwangju Institute of Science and Technology

Inventor： Eui Seok HWANG ,  Seung Wook YOON ,  Seung Nam HAN

IPC: H04W12/069 ,  H04L9/40

CPC classification number: H04W12/069 ,  H04L63/062

Abstract: The present invention relates to a PUF-based IoT device authentication technique, and more specifically, to a PUF-based IoT device using channel state information, and an authentication method thereof. According to an embodiment of the present invention, security of an authentication key may be strengthened by simultaneously utilizing a PUF-based authentication method and an RF characteristic-based authentication method.

公开(公告)号：US20210152277A1

公开(公告)日：2021-05-20

申请号：US16860462

申请日：2020-04-28

Applicant: GIST (Gwangju Institute of Science and Technology)

Inventor： Eui Seok HWANG ,  Jun Ho SONG ,  Yong Gu LEE

IPC: H04L1/00 ,  H04L29/06 ,  G06N20/00 ,  G06F11/14

Abstract: A first electronic device according to various embodiments may select one of a plurality of representation matrices and one of a plurality of measurement matrices on the basis of a pattern and/or feature of data received from a sensor. The selection of the representation matrix and the measurement matrix may be performed on the basis of machine learning. Based on the selected representation matrix and measurement matrix, the first electronic device may adaptively compress at least a portion of the data. A second electronic device according to various embodiments may restore compressed data on the basis of the result of selecting the representation matrix and the measurement matrix. By dynamically selecting the representation matrix and the measurement matrix on the basis of machine learning, it is possible to reduce an error in the data restored by the second electronic device (e.g., a restoration error).

公开(公告)号：US20230231706A1

公开(公告)日：2023-07-20

申请号：US17988766

申请日：2022-11-17

Applicant: Gwangju Institute of Science and Technology

Inventor： Eui Seok HWANG ,  Jun Ho SONG ,  Seung Nam HAN

IPC: H04L9/08

CPC classification number: H04L9/0869 ,  H04L9/0822

Abstract: The present invention relates to an autoencoder-based encryption key generation technique, and more particularly, to a signal transmission apparatus, a signal reception apparatus, a signal transmission method, and a signal reception method in an autoencoder-based encryption key generation system, wherein an encryption key with enhanced security may be generated on the basis of an autoencoder.

公开(公告)号：US20200049628A1

公开(公告)日：2020-02-13

申请号：US16534824

申请日：2019-08-07

Applicant: Gwangju Institute of Science and Technology

Inventor： Eui Seok HWANG ,  E Den KIM ,  Sung Ho JEONG ,  Sung Ho SHIN

IPC: G01N21/71 ,  G01N33/2028

Abstract: Disclosed is an operating method of a metal sorting system using laser induced breakdown spectroscopy (LIBS), which may include: analyzing a metal component distribution for various metals using LIBS library information; setting multiple clusters according to the metal component distribution; performing first regression component analysis with respect to spectral data of a metal sample; calculating a probability that the spectral data will belong to each of the set multiple clusters using the first regress component analysis result; performing second regression component analysis with respect to the spectral data which belong to each cluster; and discriminating a type of metal sample by a weighted sum of the calculated probability and the second regression component analysis result.