公开(公告)号：US09356776B2

公开(公告)日：2016-05-31

申请号：US14265985

申请日：2014-04-30

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Seok Kap Ko ,  Seung Chul Son ,  Seung Hun Oh ,  Byung Tak Lee ,  Young Sun Kim

IPC: H04L29/06 ,  H04L9/08

CPC classification number: H04L9/0819 ,  H04L63/06 ,  H04L63/08

Abstract: Disclosed are a key managing system and method for sensor network security. The key managing system includes a secret key transmitter configured to transmit a portion of a secret key map, stored in a node, to a correspondent node, and transmit the secret key map of the node to the correspondent node by using the transmitted portion of the secret key map and an authenticator configured to acquire a trust level of the correspondent node which indicates a ratio of a total size of the secret key map of the node and a size of the secret key map transmitted to the correspondent node, compare the acquired trust level of the correspondent node and a threshold value, and authenticate the correspondent node and a message acquired from the correspondent node by using the comparison result.

Abstract translation: 公开了传感器网络安全的关键管理系统和方法。 密钥管理系统包括：秘密密钥发送器，被配置为将存储在节点中的秘密密钥映射的一部分传送到通信节点，并且通过使用所述传输的部分将所述节点的秘密密钥映射发送到对端节点 秘密密钥图和认证器，被配置为获取指示节点的秘密密钥映射的总大小与发送到对端节点的秘密密钥映射的大小的比率的通信节点的信任级别，比较获取的信任 通信节点的级别和阈值，并且通过使用比较结果来认证通信节点和从通信节点获取的消息。

公开(公告)号：US20250069195A1

公开(公告)日：2025-02-27

申请号：US18757222

申请日：2024-06-27

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyun Yong Lee ,  Seok Kap Ko ,  Nack Woo Kim ,  JUNGI LEE ,  YUMIN HWANG

IPC: G06T5/60 ,  G06T5/73

Abstract: The present invention relates to a deblurring method and apparatus based on unsupervised learning and latent space processing. An unsupervised learning method of a deblurring model according to the present invention includes inputting an input image into a deblurring model to generate a restored image, calculating an error between the input image and the restored image, and training the deblurring model based on the error. A latent space processing-based deblurring method according to the present invention includes inputting a deblurring target image into an encoder, applying an image filtering technique to an output of the encoder, and inputting the output of the encoder, to which the image filtering technique has been applied, into a decoder to generate a deblurred image.