Electronics and Telecommunications Research Institute

Dae Sung Moon

Ik Kyun Kim

Han Sung Lee

Yongjin Lee

Jang-Hee Yoo

Ki Young Moon

Sung Bum Pan

Min Soo Kim

Jin Woo Choi

Kyo Il Chung

Kichul Kim

Jooyoung Lee

Nam-Su Jho

Yun Su Chung

Seung Hun Jin

Chee Hang Park

Jang Hee Yoo

Ki Jong Koo

Taek-Young Youn

Woo Yong Choi

Youn-Hee Gil

Yongwha Chung

Yang Seo Choi

So-Hee Park

Ho Hwang

Youngwha Chung

Byung Jun Kang

Kyungmin Park

Collecting the topology and asset information of the virtual generated computer network, converting the topology and asset information into a training data set for training the neural network model, training the neural network model based on the training data set, and training A method and apparatus for predicting an attack vulnerability of a computer network through the step of inferring an attack vulnerability of a target computer network using a neural network model are provided.

Method and apparatus for predicting attack vulnerability of computer network

In the present invention, by providing an apparatus for securing data comprising a memory for storing information for data processing, a processor configured to partition original data into a plurality of partial data and generate a plurality of divided data by randomly determining positions of each of the plurality of partial data within the original data, and a communication interface configured to transmit each of the plurality of divided data to each of a plurality of servers, respectively, if an attacker obtains a portion of the divided data, it prevents the entire original data from being restored, and the legitimate user can restore the original data accurately even if some divided data is corrupted, and provides an efficient data polymorphic dividing technique that can minimize the amount of calculation required to secure data.

Method and apparatus for securing data

A behavior-based malicious code detecting apparatus and method using multiple feature vectors is disclosed. A malicious code learning method may include collecting characteristic factor information when a training target process comprising a malicious code is executed, generating a feature vector for malicious code verification based on the collected characteristic factor information, learning the generated feature vector through a plurality of machine learning algorithms to generate a model of representing the malicious code and a model of representing a normal file, and storing the model of representing the malicious code and the model of representing the normal file generated through the learning.

Behavior-based malicious code detecting apparatus and method using multiple feature vectors

A computing device configured to execute an instruction set is provided. The computing device includes a system call hooker for hooking system calls that occur by the instruction set while the instruction set is executed, a category extractor for extracting a category to which each of the hooked system calls belongs with reference to category information associated with a correspondence relationship between a system call and a category, a sequence extractor for extracting one or more behavior sequences expressed in an N-gram manner from a full sequence of the hooked system calls with reference to the extracted category, and a model generator for generating a behavior pattern model of the system calls that occur when the instruction set is executed, based on a number of times that each of the extracted behavior sequences occurs.

Method of modeling behavior pattern of instruction set in N-gram manner, computing device operating with the method, and program stored in storage medium to execute the method in computing device

Disclosed is a video recording apparatus for a vehicle, which includes a camera unit formed so as to change a capturing direction; a driver's viewing direction detecting unit configured to detect a driver's viewing direction; a control unit configured to control the camera unit so that the detected viewing direction corresponds to the capturing direction; and a storing unit configured to store a video obtained by the camera unit. Therefore, a video in a direction at which the driver views is obtained and stored without mounting a plurality of cameras so that it is possible to obtain a video for a situation of an accident of a vehicle of the driver or a vehicle of another driver occurring not only in the front of the driver's vehicle but also in the side of the driver's vehicle.

Video recording apparatus for vehicle and video recording method for vehicle

An apparatus for acquiring a face image using multiple cameras so as to identify a human being located at a remote site is disclosed. The apparatus for acquiring a face image using multiple cameras allows a PTZ camera to track an interest object from among objects detected/tracked by a fixed camera, and obtains an optimum face image for remote human identification from images generated by the PTZ camera. The apparatus for acquiring the face image using multiple cameras so as to identify a human located at a remote site includes a multi-camera control module for tracking an interest object being detected/tracked by a fixed camera through a Pan-Tilt-Zoom (PTZ) camera, and generating an image of the interest object; and a face-image acquisition module for acquiring a face image appropriate for identifying a face image of the remote human in the interest object image generated by the multi-camera control module.

Apparatus and method for acquiring face image using multiple cameras so as to identify human located at remote site

A biometric register includes: a feature extraction unit for performing preprocessing for a fingerprint to extract a feature point m for the fingerprint; a transformation function generation unit for generating a transformation function which is composed of an arbitrary rotation matrix and an arbitrary vector; and a template generation unit for transforming a coordinate of the feature point m using the generated transformation function, and organizing a fuzzy vault using a randomly generated fake feature point and a feature point mapplied by the transformed coordinate, thereby generating a one-time template.

Apparatus and method for biometric registration and authentication

Provided are a method and apparatus for identifying a fingerprint. The method uses minutiae points of the fingerprint and includes (a) enrolling a fingerprint of a first user in a first database by extracting n minutiae points from a fingerprint image of the first user; selecting one of the n minutiae points as a reference point; rotating the other minutiae points by a predetermined angle with respect to the reference point; generating a first user table containing information regarding the first user's fingerprint based on geometrical changes of the other minutiae points which are obtained by the rotation; and storing the first user table in the first database; and (b) identifying a fingerprint of a second user by extracting m minutiae points from a fingerprint image of the second user; selecting one of the m minutiae points as a reference point; generating a second user table containing information regarding the second user's fingerprint based on geometric changes of the other minutiae points obtained by rotating the other minutiae points by an angle about the reference point; comparing the second user table with the first user table, and selecting a similar candidate list of user tables (m and n are integers). Accordingly, it is possible to enroll a large amount of information regarding fingerprints in a database using quantization and geometric hashing while using a limited storage memory of a central database. Further, it is possible to accurately identify and detect a user's fingerprint in real time using geometric hashing and parallel processing.

Method and apparatus for identifying a fingerprint

In an apparatus for authenticating a user by employing feature points of a fingerprint image of the user, a fingerprint image input circuit scans a fingerprint of a user to be registered to provide a first fingerprint image and a fingerprint of a user to be authenticated to provide a second fingerprint image. A host provides registered feature points data corresponding to the first fingerprint image and target feature points data corresponding to the second fingerprint image. A security token circuit estimates a position difference and a direction difference between pairs of a registered feature point and a target feature point and corrects the two feature points based on the position difference and the direction difference to provide authentication result data.

Apparatus and method for authenticating a user by employing feature points of a fingerprint image of the user

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Daejeon, South Korea

Dae Sung Moon