Abstract: A method of building an ad-hoc network of a wireless relay node and an ad-hoc network system are disclosed. The method includes verifying state information representing a relative distance and angle to a neighboring node capable of receiving data when each of relay nodes transmits the data, determining an action representing a change over time of each relay node, determining, based on an amount of change in a network throughput determined according to the state information and an amount of energy consumption according to the action, a reward corresponding to the action, and building a network including a source node, a destination node, and a plurality of relay nodes by generating, based on a reward of each of the relay nodes, a policy that allows a cumulative reward to be maximized.

Abstract: According to one embodiment of the present invention, a group signature-based federated learning method by a group signature-based federated learning system including at least one client terminal and an administrator terminal provided as a group, and a server distributing a federated learning model to the at least one client terminal may comprise requesting, by the client terminal, a group signature to the administrator terminal; transmitting, by the administrator terminal, a group signature response to the client terminal in response to the request for the group signature; generating, by the client terminal, update information of signed federated learning using the group signature response and transmitting it to the server to request participation in federated learning update; transmitting, when the server receives the request for participation in the federated learning update, a latest group signature request to the administrator terminal and receiving a latest group signature response from the administrato

Abstract: A code sequence based intelligent key code identification method includes extracting Smali code sequence by decompiling an application, vectorizing the extracted Smali code sequence to construct a training dataset, training a deep learning model with the vectorized Smali code sequence to generate a classifier, generating a category classification result using Smali code sequence of a target application as input of the classifier, and identifying and providing important Smali code sequence from which the classification result of the target application is derived. Accordingly, it is possible to objectively evaluate the application using Smali code sequence of the application being actually run.

Abstract: The present disclosure discloses a computing-aware traffic steering method, apparatus and system in a mobile network. According to the present disclosure, there is provided a computing-aware traffic steering method of mobile network control plane, the method including: in a case where it is confirmed that there is no target data network access identifier (DNAI) mapped to a service ID when a PDU session establishment request including the service ID of a user terminal (UE) is made, transmitting the service ID and user plane path information to a computing-aware traffic steering mobile user plane controller (CATS-MUP-C) using segment routing; reconfiguring a user plane path for accessing an Anycast IP address corresponding to the service ID in conjunction with the CATS-MUP-C; and completing the PDU session establishment using the Anycast IP address.

Abstract: Provided is a resource monitoring apparatus including a log generation unit for extracting a method requested from a hardware abstraction layer and generating a log; a log classification unit for classifying the generated log according to a type of an interface connected to the method; and a log determination unit for identifying a malicious activity from the classified log based on pattern information of the log set differently depending on the type of the interface.

Abstract: The present disclosure discloses a computing-aware traffic steering method, apparatus and system in a mobile network. According to the present disclosure, there is provided a computing-aware traffic steering method of mobile network control plane, the method including in a case where it is confirmed that there is no target data network access identifier (DNAI) mapped to a service ID when a PDU session establishment request including the service ID of a user equipment (UE) is made, transmitting the service ID and user plane path information to a CATS controller in a computing-aware traffic steering (CATS) network environment using segment routing, and reconfiguring a user plane path for accessing an optimal service contact instance IP address determined as one of a plurality of service contact instances based on a base station connected by the UE and computing and networking metrics in conjunction with the CATS controller.

Abstract: Provided is a method for managing an address for an application of a LISP (Locator ID Separation Protocol) network system in a distributed container-based virtualization environment, and the method comprises detecting, by a service discovery agent of a container platform, generation of an application in a corresponding cluster; querying, by the service discovery agent, a service IP address to be assigned to an application to be generated by transmitting a service name to a central control plane; searching, by the control plane, for a service IP address matching the service name and transmitting the service IP address to the service discovery agent; and transmitting, by the service discovery agent, the service IP address to a manager of the container platform to complete the generation of the application, and mapping the service IP address to a public IP for the generated application to register it in the control plane.

Abstract: A service mesh traffic management apparatus, system, and method in a distributed Kubernetes multi-cluster environment are disclosed. A service mesh traffic management apparatus in a distributed Kubernetes multi-cluster environment comprises a processor, and a memory connected to the processor, wherein the memory stores program instructions executable by the processor for performing operations comprising receiving a monitoring metric collected by a Prometheus server distributed in the multi-cluster, selecting a first routing policy based on a predefined routing policy selection rule and the collected monitoring metric, comparing the first routing policy and a second routing policy currently in use, distributing, when the first routing policy and the second routing policy are different, the first routing policy to each proxy in the service mesh.

Abstract: Provided are a font generating system and a font generating method. The font generating system and the font generating method of the present disclosure are provided to include a component decomposer which has at least one character input thereto and decomposes the input character into at least one component, a component converter which converts the at least one component into a component with a predetermined font to generate at least one imaging component, and a component recomposer which recomposes the at least one imaging component to generate a fonted character.

Abstract: A magnetic bearing having a colocated eddy-current displacement sensor, comprising an electromagnet unit including a circular casing having a hollow portion therein, and a plurality of electromagnets disposed along an inner periphery of the casing, an amplifier unit coupled to one side of the electromagnet unit, a coil wiring unit coupled to the other side of the electromagnet unit, and a plurality of sensor units disposed along an inner periphery of the electromagnet unit and each having two opposite ends respectively coupled to the coil wiring unit and the amplifier unit, the plurality of sensor units being provided between the coil wiring unit and the amplifier unit, in which the sensor unit is disposed colocatedly with a suspended body supported by the electromagnet unit and configured to measure a displacement of the suspended body.

Abstract: A method for a deobfuscation apparatus that deobfuscates a malicious program obfuscated using an obfuscation technique, and the deobfuscation method comprises executing the malicious program to identify and extract memory information containing a trampoline code used in the obfuscation technique, executing the trampoline code based on the memory information to classify a type of obfuscation technique of the malicious program, and deobfuscating the malicious program according to the classified obfuscation technique and generating a deobfuscation program. According to the constitution, the techniques for obfuscating OEP and IAT can be deobfuscated.

Abstract: A traffic control method and apparatus with an autonomous vehicle based on adaptive reward. A traffic control apparatus for an autonomous vehicle based on adaptive reward comprises an information observation unit that collects observation information from a sensing module of an autonomous vehicle or a roadside unit (RSU); a policy execution unit that decides on an action including adjusting acceleration and changing lanes of the autonomous vehicle based on the observation information and policy; and a reward determination unit that determines reward according to observation information at a next timestep according to the decision made, wherein reward in the reward determination unit includes penalty in an event of an accident and reward when driving, wherein the reward when driving includes an adaptive target speed reward term, a successful lane change reward term, and a safety distance compliance reward term that are adaptively determined according to road traffic.

Abstract: A method of detecting malicious behavior in a malicious behavior detection apparatus that detects malicious behavior by analyzing the code of a program, comprises generating a first control flow graph (CFG) by performing dynamic analysis on the program, generating a second CFG by extracting a code block that is likely to be executed by a conditional branch instruction included in the program, and comparing the first CFG and the second CFG to detect hidden code included in the program, and detecting a malicious behavior of the program by determining whether the detected hidden code is a malicious code. According to the constitutions, the time it takes to discover and respond to new types of malicious code can be shorten by extracting hidden code related to the malicious behavior and detecting malicious behavior.

Abstract: The present invention is to predict physical properties of a new composition, especially changes in physical properties at ultra-high temperatures, and has the effect of selecting compositions with desired physical properties without going through direct experiments by predicting changes in physical properties of new compositions, especially at ultra-high temperatures, predicting changes in physical properties due to changes in composition at absolute zero, and predicting changes in physical properties at ultra-high temperatures using the QHA (Quasi-harmonic approaching) technique and the Debye approximation for the stable phase of the composition.

Abstract: A method and apparatus for augmenting knowledge using federated learning information. An apparatus for augmenting knowledge using federated learning information comprises a transceiver unit that receives local information including a global parameter of a local model, a local latent vector, and a local loss value from each of a plurality of individual devices, a data storage unit that stores the local information, a federated learning execution unit that collects a global parameter of the local model and generates a federated global parameter for a global model, and a large model learning unit that generates a true label approximate value for learning a large model using the local information and the federated global parameter, and learns the large model using a prediction result obtained by inputting the local latent vector into the large model and the true label approximate value.

Abstract: Provided is an on-device Android malware detection method based on an adaptive model through transfer learning, including: determining whether an application is malicious or unfavorable from a list of applications installed on a device; decompiling, in the device, an Android package (APK) of the application installed on the device; transmitting the determined list and the decompiled APK file to a server in order to generate a head model in the server and use the generated head model for the transfer learning with a base model; performing malware analysis in the device using a transfer learning model received from the server for an application newly installed on the device; and providing a malware analysis result to a user through the device as a result, and since the malware analysis is performed on the device, it is possible to ensure the availability and real-time performance of enabling analysis outside of a network range.

Abstract: An offline reinforcement learning-based foresighted decision-making apparatus and method for interaction between multiple agents.

Abstract: The present invention relates to an activity recognition apparatus and method in sports videos using CGAM.

Abstract: A driving circuit board includes a driving circuit board includes: a plurality of driving electrode regions on a surface of the driving circuit board; a plurality of driving electrodes symmetrically arranged on the plurality of driving electrode regions; and a driving circuit electrically connected to at least one of the plurality of driving electrodes, wherein the plurality of driving electrodes include at least one dummy electrode that is not connected to the driving circuit.

Abstract: A high-efficiency cordless hair dryer according to an exemplary embodiment of the present invention may include: a main body housing having, at a rear side thereof, an air inlet port through which air is introduced, having, at a front side thereof, a discharge port through which the air is discharged, and having an internal space in which a heating element is mounted; and a power supply module configured to supply power and detachably coupled to the rear side of the main body housing at which the air inlet port is formed, in which the power supply module is detachably coupled to the main body housing so as to be coincident with a direction of a flow of air in the main body housing.