Electronics and Telecommunications Research Institute

Chi Yoon Jeong

Seon Gyoung Sohn

Beom Hwan Chang

Jong Soo Jang

Jong Hyun Kim

Jung Chan Na

Moo Seop Kim

Geon Lyang Kim

Jong Ho Ryu

Sung Won Sohn

Kyeong Deok Moon

Yun Kyung Park

Hyun Sook Cho

SuGil Choi

Ik Kyun Kim

Seon-Gyoung Sohn

Hyun Joo Kim

Hyo Chan Bang

Sung Yong Shin

Won Joo Park

Jung-Chan Na

Taek Yong Nam

Soo Hyung Lee

Seung Wan Han

Dong Ho Kang

Sooncheol Shin

Provided are an apparatus and method for sensory substitution based on depth-time mapping. The apparatus for sensory substitution based on depth-time mapping according to the present invention includes an image segmentation unit configured to generate a plurality of depth images by segmenting three-dimensional (3D) image information based on depth, a sensory substitution unit configured to generate pieces of sensory substitution information by converting at least any one of the plurality of depth images into preset sensory information, a depth-time mapping unit configured to map the sensory substitution information to a time axis based on depth information corresponding to the depth image, and an output unit configured to sequentially output the pieces of sensory substitution information in order mapped to the time axis.

Apparatus and method for sensory substitution based on depth-time mapping

Disclosed are a system and method for reproducing tactile content using spatial information, which enhances a users tactile sense of music by converting a sound of music played in a space into tactile sense in real time without any sense of difference between tactile and auditory sense and automatically correcting tactile information by reflecting a user location and spatial characteristics so that performance or image information may be realized as tactile content using spatial information and the user location.

System and method for reproducing tactile content using spatial information

Provided is a sensory substitution apparatus and method that combines two or more pieces of multi-sense sensory information to be converted into different multi-sense sensory information, in which received pieces of multiple information are combined to suit sensory characteristics of the user's body and efficiently transmitted to a different sensory organ. According to the present invention includes: receiving input sensory information; classifying the input sensory information; calculating an importance of each of individual sensory information; determining a target sense for which part or all of the individual sensory information, of which an importance is calculated, is to be converted into a new sensory signal incongruent with the corresponding individual sense; and converting the input sensory information into target sensory information to be transmitted to the determined target sense which is an organ.

Sensory substitution apparatus and method

Provided is an autonomous ship navigation apparatus including an acquisition unit configured to acquire a surrounding environment image, marine information, and navigation information, a map generation unit configured to generate a grid map by displaying topography, a host ship, and an obstacle corresponding to the marine information and the navigation information in the surrounding environment image, and a sailing method determination unit configured to determine a sailing method of a ship through deep reinforcement learning based on the grid map, the marine information, and the navigation information.

Apparatus, method, and recording medium for autonomous ship navigation

A videotelephony image modulation apparatus and method detects an event having a possibility of information leakage by analyzing an image and provides a secured calling mode of masking all or a part of the image and transmitting a masked image obtained through the masking.

Apparatus and method for modulating images for videotelephony

The present invention relates to an insider threat detection device and method which collects and analyzes a variety of information generated by insiders working for an organization, such as behaviors, events, and states of the insider, and detects an abnormal insider who may become a potential threat. According to the present invention, the insider threat detection method and apparatus analyzes information related to insiders using the correlation analysis method, and previously detects an abnormal sign of an insider who may become a potential threat to an organization, which makes it possible to protect the organization from attacks on systems inside the organization or seizure of important information inside the organization.

Insider threat detection device and method

A network monitoring system includes: a traffic information generating apparatus for generating traffic information. Further, the network monitoring system includes a security event collecting apparatus for collecting the traffic information generated by the traffic information generating apparatus by referring to pre-stored traffic information, grouping the collected traffic information, and then extracting service information. Furthermore, the network monitoring system includes a service abnormal condition detecting apparatus for detecting a port number of a transport layer of service information extracted from the security event collecting apparatus and the occurrence frequency of the transport layer, determining the continuity of the port number and the uniformity of the occurrence frequency, and displaying a service abnormal condition.

Method and system for providing network monitoring, security event collection apparatus and service abnormality detection apparatus for network monitoring

Provided are a web-based traceback system and method using reverse caching proxy, which can effectively protect a web server against various attacks launched by illegitimate user by acquiring network information and location information of users who attempt to access the web server through an anonymous server, without a requirement of installing any agent program in the users' clients. The web-based traceback system may include a reverse caching proxy server receiving a hypertext transfer protocol (HTTP) packet transmitted to a web server by a client, analyzing the header of the HTTP packet and determining whether the client has attempted to access the web server through an anonymous server based on the results of the analysis; and a web tracking server generating a response page for the HTTP packet upon receiving the results of the determination performed by the reverse caching proxy server, inserting a tracking code in the response page, and providing the response page to the client through the reverse caching proxy server, wherein the tracking code is automatically executed in a web browser of the client and thus provides network information of the client to the web tracking server.

Web-based traceback system and method using reverse caching proxy

There are provided a system and method for tracing back an attacker by using centroid decomposition technique, the system including: a log data input module collecting log data of an intrusion alarm from an intrusion detection system; a centroid node detection module generating a shortest path tree by applying a shortest path algorithm to network router connection information collected by a network administration server, detecting a centroid node by applying centroid decomposition technique removing a leaf-node to the shortest path tree, and generating a centroid tree whose node of each level is the detected centroid node; and a traceback processing module requesting log data of a router matched with the node of each level of the centroid tree, and tracing back a router identical to the log data of the collected intrusion alarm as a router connected to a source of an attacker by comparing the log data of the router with the log data of the collected intrusion alarm. According to the system and method, an attacker causing a security intrusion event may be quickly detected, a load on the system is reduced, and a passage host exposed to a danger or having weaknesses may be easily recognized, thereby easily coping with an attack.

Log-based traceback system and method using centroid decomposition technique

There are provided an apparatus and method for sampling a security event based on contents of the security event, the apparatus including: a security event accumulation module collecting security events occurring in a network system and storing the security events for each type according to contents of the security event; a security event analysis module calculating distribution of the security events for each type by analyzing the stored security events; and a security event extraction module sampling the stored security events according to the calculated distribution of the security events for each type. The apparatus and method may improve speed of visualization of a security event and a security event analysis apparatus and may increase accuracy thereof.

Apparatus and method for sampling security events based on contents of the security events

There are provided a network security state visualization device and method, the device including: a security event collector collecting original security event information from network security apparatuses; a security event analyzer analyzing the original security event information collected by the security event collector and extracting characteristic data corresponding to a security event; and a three-dimensional visualization display unit visualizing a correlation between the characteristic data extracted by the security event analyzer as a three-dimensional screen to be displayed.

Method and apparatus for visualizing network security state

An apparatus for filtering malicious multimedia data using sequential processing and a method thereof are provided. The apparatus includes: a maliciousness classification model training unit extracting a predetermined feature from at least one or more types of moving pictures and then, through machine training, generating a maliciousness determination model for each of at least one or more classes; a malicious data classification unit sequentially inputting input moving pictures for which maliciousness is required to be determined, to the maliciousness determination model, and determining the maliciousness class of the input moving pictures, based on a probability that data at a determination time of the input moving pictures belongs to a predetermined maliciousness class, and an accumulated maliciousness probability to a current time; and a malicious information filtering unit cutting off service if the maliciousness class belongs to a predetermined reference maliciousness class.

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Daejeon, South Korea

Chi Yoon Jeong