公开(公告)号：US20240185459A1

公开(公告)日：2024-06-06

申请号：US18343566

申请日：2023-06-28

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Joong Yong CHOI ,  Hyun Joo KIM ,  Ah Reum OH ,  Hyung Keun JEE

IPC: G06T7/80 ,  G06V10/70

CPC classification number: G06T7/80 ,  G06V10/70

Abstract: An apparatus and method for calibration between wide angle-narrow angle lenses through a dual-ChArUco board is disclosed. A method of calibration between wide angle-narrow angle lenses through a dual-ChArUco board includes recognizing a first pattern through a wide-angle lens of a first sensor and recognizing a second pattern through a narrow-angle lens of a second sensor, storing the first pattern and the second pattern; and calibrating the stored first pattern and the stored second pattern.

公开(公告)号：US20190394215A1

公开(公告)日：2019-12-26

申请号：US16202869

申请日：2018-11-28

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jong-Hoon LEE ,  Youngsoo KIM ,  Ik Kyun KIM ,  Jung Tae KIM ,  Jonghyun KIM ,  Hyun Joo KIM ,  Jong Geun PARK ,  Sang-Min LEE ,  Sunoh CHOI

IPC: H04L29/06 ,  G06N20/00 ,  G06N3/08

Abstract: A method and a computation apparatus detecting cyber threats using a neural network through steps of: generating a learning model by performing machine learning on training data based on baseline data, converting a security event collected in real time into input data for the neural network, and determining, as an output corresponding to the input data based on the learning model, whether the security event is normal or threat are provided.

公开(公告)号：US20170270299A1

公开(公告)日：2017-09-21

申请号：US15240319

申请日：2016-08-18

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Hyun Joo KIM ,  Jong Hyun KIM ,  Ik Kyun KIM

IPC: G06F21/56 ,  G06N5/02

CPC classification number: G06F21/566 ,  G06N5/022

Abstract: The present invention relates to an apparatus and a method for detecting a malware code by generating and analyzing behavior pattern. A malware code detecting apparatus includes a behavior pattern generating unit which defines a characteristic parameter which distinguishes and specifies behaviors of a malware code and normally executable programs, converts an API calling event corresponding to the defined characteristic parameter and generates a behavior pattern in accordance with a similarity for behaviors of converted API call sequences to store the behavior pattern in a behavior pattern DB; and a malware code detecting unit which converts the API calling event corresponding to the defined characteristic parameter when the target process is executed into the API call sequence and determines whether the behavior pattern is a malware code in accordance with a similarity for behaviors of the converted API call sequence and the sequence stored in the behavior pattern DB.

公开(公告)号：US20230290059A1

公开(公告)日：2023-09-14

申请号：US17968118

申请日：2022-10-18

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyun Joo KIM ,  JoongYong CHOI ,  Hyung-Keun JEE

IPC: G06T17/20 ,  G06T15/04 ,  G06T7/80

CPC classification number: G06T17/20 ,  G06T15/04 ,  G06T7/80 ,  G06T2200/24

Abstract: Disclosed is an image processing device, which includes a plurality of sensors that output two or more different types of sensing data, a processor that synchronizes the sensing data, extracts image processing-related information from the synchronized sensing data, and generates a gigapixel texture and a three-dimensional (3D) mesh based on the image processing-related information, a user interface that visualizes and outputs 3D cultural asset data generated based on the gigapixel texture and the 3D mesh, and a memory that stores the image processing-related information and the 3D cultural asset data. The image processing-related information includes a multi-viewpoint image, a calibration image, and a camera parameter.

公开(公告)号：US20190327164A1

公开(公告)日：2019-10-24

申请号：US16206662

申请日：2018-11-30

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jung Tae KIM ,  Youngsoo KIM ,  Jonghyun KIM ,  Hyun Joo KIM ,  Jong Geun PARK ,  Sang-Min LEE ,  Jong-Hoon LEE ,  Sunoh CHOI

IPC: H04L12/26

Abstract: A method, an apparatus, and a system for analyzing traffic through obtaining flow data of a flow from a switch or a router of a network, calculating an average byte per packet rate (BPR) and a TCP flag ratio (TCPFR) for all flows included in a session including the flow using the flow data, and comparing the average BPR and the TCPFR with an average BPR and a TCPFR of previously-known traffic and determining whether the traffic including the flow is normal traffic or abnormal traffic based on the comparison result are provided.

公开(公告)号：US20150199512A1

公开(公告)日：2015-07-16

申请号：US14248845

申请日：2014-04-09

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Hyun Joo KIM ,  Ik Kyun KIM

IPC: G06F21/55

Abstract: Provided are abnormal behavior detecting apparatus and method and the abnormal behavior detecting apparatus, includes: a behavior analyzing unit which analyzes a behavior which occurs for resources of a system based on data collected from a process while the process is executed on the system; a behavior modeling unit which models a behavior analysis result for the resources of the system on a coordinate which is generated based on the behavior for the resources of the system to create a process behavior model corresponding to the resources of the system; a suspicious behavior determining unit which determines a suspicious behavior of the process in accordance with the type of the process behavior model which is implemented on the coordinate; and a process detecting unit which detects a process in which the suspicious behavior occurs as an abnormal behavior process.

Abstract translation: 提供了异常行为检测装置和方法以及异常行为检测装置，包括：行为分析单元，其基于在系统上执行处理时从进程收集的数据分析系统资源发生的行为; 行为建模单元，其基于系统的资源的行为生成的坐标来对系统的资源进行行为分析结果建模，以创建与系统的资源相对应的过程行为模型; 可疑行为确定单元，其根据在坐标上实现的过程行为模型的类型来确定过程的可疑行为; 以及处理检测单元，其检测作为异常行为处理发生可疑行为的处理。