Abstract: A frame structure for a vehicle includes: an inner panel connected to a side member and defining an inner side of a rear part of the side member; an outer panel connected to a rear side of the side member and coupled to an outer side of the inner panel defining a closed cross-section together with the inner panel and defining an outer side of the rear part of the side member; an opening portion formed below the inner and outer panels partially opening the closed cross-section so that a front end of a rear suspension arm can be inserted into the opening portion; and a reinforcing member disposed in the opening portion defining the closed cross-section together with the outer panel and the inner panel and configured to close an internal space in the outer and inner panels.

Abstract: The present invention provides an adhesive composition for a dicing tape, which may prevent the success rate of chip pick-up from decreasing due to an oxygen inhibition phenomenon occurring in a dicing process, and a dicing tape including the same. The adhesive composition for a dicing tape includes an adhesive binder, a singlet oxygen scavenger, a photosensitizer, and a photoinitiator.

Abstract: Provided is a peptide composition for preventing or treating Alzheimer's dementia. A peptide or a salt substituent thereof according to the presently claimed subject matter exhibits effects such as suppression of LPS-mediated cytokine production, suppression of LPS-induced neuroinflammation, amelioration of cognitive impairment, suppression of beta amyloid or tau protein aggregation, and suppression of neuronal loss. The polypeptide or the salt substituent thereof can permeate the blood-brain barrier, and thus, is expected to be usefully used for preventing or treating Alzheimer's dementia.

Abstract: Provided are a method for detecting an anomaly in devices, the method being performed by a computing device and comprising: acquiring operation information on a first device connected to a security management unit (SMU) of a first domain, and operation information on a second device connected to a SMU of a second domain, and detecting an anomaly in the first device and/or the second device by comparing the operation information on the first device with the operation information on the second device, wherein the SMU of the first domain is not directly connected to the SMU of the second domain.

Abstract: There is provided a method of generating malicious traffic, the method being performed by a computing apparatus and comprising obtaining traffic data transmitted from a first device infected with first malicious code or received by the first device, generating a traffic template of the first device by analyzing the traffic data, and generating a malicious traffic template of a terminal group, wherein the malicious traffic template of the terminal group comprises the traffic template of the first device.

Abstract: An apparatus comprising a processor to execute the rule optimizer to perform a number of operations. One operation comprises obtaining 5 log data including a result of detecting an exploit attack based on a rule. Another operation comprises time-series analyzing the obtained log data to update at least some of previously applied detection rules. There is provided an apparatus for automatically optimizing a rule to improve the detection accuracy for an exploit attack in a rule-based attack detection system, and a method performed on the apparatus.

Abstract: An apparatus comprising a processor to execute the rule optimizer to perform a number of operations. One operation comprises obtaining 5 log data including a result of detecting an exploit attack based on a rule. Another operation comprises time-series analyzing the obtained log data to update at least some of previously applied detection rules. There is provided an apparatus for automatically optimizing a rule to improve the detection accuracy for an exploit attack in a rule-based attack detection system, and a method performed on the apparatus.

Abstract: Provided is a method for managing abnormal behavior of an IoT device performed at an IoT gateway connected to the IoT device. The method comprises collecting a transmission packet transmitted by of the IoT device, calculating historical time series metrics for the IoT device using the collected packet, setting normal ranges of the time series metrics using at least one of a maximum value, a minimum value, and an average value of a curvature of a curve generated based on mapping the calculated historical time series metrics onto a two-dimensional plane, and determining whether current time series metric calculated using a received packet from the IoT device are out of the normal ranges.

Abstract: Provided are methods and systems for identifying an Internet of things (IoT) device. A method of clustering an Internet of things (IoT) device, the method comprises determining a device group to which the IoT device belongs by applying the network packet of the IoT device obtained from the device identification apparatus to the clustering model, transmitting device group information according to the determination to the device identification apparatus and obtaining detailed identification information of the IoT device from the device identification apparatus, wherein the detailed identification information comprises a detailed model of the IoT device analyzed using the device group information.

Abstract: Provided is a method for classifying a cyber-attack performed in a computing device having an artificial neural network. The method comprises obtaining a plurality of features extracted from collected packets and inputting the plurality of features into the artificial neural network and using data output from the artificial neural network to determine a type of cyber-attack indicated by the collected packet.

Abstract: Provided are a method for detecting an anomaly in devices, the method being performed by a computing device and comprising: acquiring operation information on a first device connected to a security management unit (SMU) of a first domain, and operation information on a second device connected to a SMU of a second domain, and detecting an anomaly in the first device and/or the second device by comparing the operation information on the first device with the operation information on the second device, wherein the SMU of the first domain is not directly connected to the SMU of the second domain.

Abstract: There is provided a method of generating malicious traffic, the method being performed by a computing apparatus and comprising obtaining traffic data transmitted from a first device infected with first malicious code or received by the first device, generating a traffic template of the first device by analyzing the traffic data, and generating a malicious traffic template of a terminal group, wherein the malicious traffic template of the terminal group comprises the traffic template of the first device.

Abstract: There is provided a reinforcement learning method in which a discount factor is automatically adjusted, the method being executed by a computing device and comprising repeatedly training a reinforcement learning model, which determines an evaluation result of input data, using the input data, wherein the repeatedly training of the reinforcement learning model comprises obtaining first result data which is output as a result of inputting the input data to the reinforcement learning model. obtaining second result data which is the result of evaluating the input data using a first evaluation model. obtaining a first return which is the result of adding a discount factor to a first reward given in consideration of whether the first result data and the second result data match. training the reinforcement learning model using the first return and automatically adjusting the discount factor by considering the second result data.

Abstract: The present invention relates to a power supply and pickup system capable of maintaining stability of transmission efficiency despite changes in a resonant frequency. More particularly, the present invention relates to a power supply and pickup system capable of maintaining the stability of efficiency of transmitting power to a pickup device from a power supply device even when a voltage or current changes by the variation in a resonant frequency. According to the power supply and pickup system of the present invention, Q-factor of a power supply and pickup system is set to a low value, a stability of efficiency of transmitting power to a pickup device from a power supply device is maintained even when a voltage of current changes by the variation in a resonant frequency.

Abstract: The present invention relates to a power supply and pickup system capable of maintaining stability of transmission efficiency despite changes in a resonant frequency. More particularly, the present invention relates to a power supply and pickup system capable of maintaining the stability of efficiency of transmitting power to a pickup device from a power supply device even when a voltage or current changes by the variation in a resonant frequency. According to the power supply and pickup system of the present invention, Q-factor of a power supply and pickup system is set to a low value, a stability of efficiency of transmitting power to a pickup device from a power supply device is maintained even when a voltage of current changes by the variation in a resonant frequency.

Abstract: The present invention relates to a power supply and pickup system capable of maintaining stability of transmission efficiency despite changes in a resonant frequency. More particularly, the present invention relates to a power supply and pickup system capable of maintaining the stability of efficiency of transmitting power to a pickup device from a power supply device even when a voltage or current changes by the variation in a resonant frequency. According to the power supply and pickup system of the present invention, Q-factor of a power supply and pickup system is set to a low value, a stability of efficiency of transmitting power to a pickup device from a power supply device is maintained even when a voltage of current changes by the variation in a resonant frequency.

Abstract: The present invention relates to a power supply and pickup system capable of maintaining stability of transmission efficiency despite changes in a resonant frequency. More particularly, the present invention relates to a power supply and pickup system capable of maintaining the stability of efficiency of transmitting power to a pickup device from a power supply device even when a voltage or current changes by the variation in a resonant frequency. According to the power supply and pickup system of the present invention, Q-factor of a power supply and pickup system is set to a low value, a stability of efficiency of transmitting power to a pickup device from a power supply device is maintained even when a voltage of current changes by the variation in a resonant frequency.

Abstract: The present invention relates to a power supply and pickup system capable of maintaining stability of transmission efficiency despite changes in a resonant frequency. More particularly, the present invention relates to a power supply and pickup system capable of maintaining the stability of efficiency of transmitting power to a pickup device from a power supply device even when a voltage or current changes by the variation in a resonant frequency. According to the power supply and pickup system of the present invention, Q-factor of a power supply and pickup system is set to a low value, a stability of efficiency of transmitting power to a pickup device from a power supply device is maintained even when a voltage of current changes by the variation in a resonant frequency.

Abstract: A black market collection system for tracing distributors of mobile malware comprises: a black market collection module for collecting web sites suspected to be a black market or apk files suspected to be a black market app by a search related to black markets through portal sites, and creating a URL list of the collected web sites suspected to be a black market; an app static analysis module for obtaining a source code by decompiling the collected apk file and detecting a URL of a site address distributing a corresponding app; a site analysis module for collecting apk files by analyzing the URL or each URL pattern of thereof and creating an apk collection pattern rule related to paths of collecting the apk files; and a database for storing the URL list of the collected web sites suspected to be a black market and the created apk collection pattern rule.

Abstract: Provided are an apparatus and method for detecting a fraudulent transaction using machine learning. The apparatus for detecting a fraudulent transaction using machine learning includes a settlement information input unit configured to receive settlement information of a user device in response to a settlement request from the user device, a feature information extraction unit configured to extract feature information from the received settlement information, and a fraudulent transaction determination unit configured to determine whether a transaction is a fraudulent transaction or not using a plurality of machine learning algorithms based on the extracted feature information.