Abstract: Disclosed are a method for changing a game parameter and a client for performing same. The client comprises: a processor for executing a game program; and a transceiver for communicating with a blockchain node of a blockchain network storing a first blockchain, wherein the processor may authenticate a user account and perform a first event of the game program accessed by the user account, the transceiver may transmit, to the blockchain node, a completion signal of the first event including information about the client when the first event is completed and receive, from the blockchain node, a request signal for generating a second event, the processor may generate the second event on the basis of the request signal for generating the second event, and the transceiver may transmit, to the blockchain node, information about the second event.

Abstract: Provided are a content caching optimization system and method. The content caching optimization system in which content priority in an information-centric networking (ICN) environment is taken into consideration includes one or more producer terminals configured to generate and provide content, one or more user terminals configured to transmit content requests according to users and receive content according to the content requests, one or more mobile/multiple access edge computings (MECs) configured to predict the number of requests for each piece of content to be requested later on the basis of the content requests received from the user terminals, and a software-defined network (SDN) controller configured to calculate a content popularity using the number of requests for each piece of content predicted by the MECs and perform content caching optimization on the basis of the calculated content popularity and a preset content priority.

Abstract: The present invention provides a high-purity glucose-based compound ultra-highly substituted with a biopolymer, in which a surface of a glucose-based compound as a natural material is ultra-highly modified with a biopolymer to improve compatibility and dispersibility with biodegradable polymers, thereby significantly improving the mechanical properties of the biodegradable polymer composite.

Abstract: A device for automatically identifying anti-analysis techniques by using the signature extraction, includes an extraction unit which extracts a DEX file and an ELF file from an application file after unpacking the application file, which is in an APK format and includes compressed execution code to be executed on Android, a detection unit which receives the acquired signature classified according to types of the signature, analytically compares the input signature with the signature stored in a database, and detects the signature used in anti-analysis techniques, and a determination unit which determines according to the detected signature what anti-analysis technique is applied to the application. According to the present invention, it is possible to enable an appropriate and quick response to damages due to malicious applications by shortening the time required for analysis and automatically recognizing the application to which the anti-analysis technique is applied.

Abstract: A method for evaluating the risk of data leakage in an application includes the steps of: extracting a DEX (Dalvik Executable) file and a so (Shared Object) file by decompressing an APK file of a mobile application; extracting DEX code information from the DEX file by parsing the DEX file; translating a content of the so file into IR (Intermediate Representation); extracting IR code information from the translated IR; generating a call-reference structure between the DEX file and the so file by processing the extracted DEX code information and the extracted IR code information; and outputting weakness information according to a risk designated in advance based on the generated call-reference structure. Accordingly, it is possible to extend the call-reference coverage of an android application.

Abstract: Provided is an eBPF-based hot patch engine device for protecting kernel vulnerabilities. The eBPF-based hot patch engine device comprises a container-aware code generating unit for generating a container-aware code for identifying a target container, to which a hot patch is attached; and a hot patch configuring unit for configuring an eBPF-based hot patch code for attaching a hot patch to the target container based on the container-aware code. Accordingly, it is possible to prevent attacks based on CVEs, which are known vulnerabilities for container systems, by hot patching kernel-related CVEs at runtime without rebooting and freezing.

Abstract: Proposed is an all-solid-state battery including a self-standing sheet layer positioned on a negative electrode current collector. The all-solid-state battery may include the negative electrode current collector, the self-standing sheet layer positioned on the negative electrode current collector, a solid electrolyte layer positioned on the sheet layer, a positive electrode active material layer positioned on the solid electrolyte layer, and a positive electrode current collector positioned on the positive electrode active material layer. The sheet layer contains carbon nanotubes.

Abstract: The present subject matter provides a high-speed nanopatterning method and apparatus of two-color super-resolution photolithography.

Abstract: A method of manufacturing a conductive electrolyte layer according to various embodiments of the present disclosure for achieving the objects is disclosed. The method includes loading a substrate into a sputter chamber, connecting a plurality of targets to the chamber, injecting a mixed gas into the chamber, supplying power to each of the plurality of targets and forming a conductive electrolyte layer on one surface of the substrate, and sintering the conductive electrolyte layer at a set sintering temperature.

Abstract: A method of forming a conductive electrolyte layer according to various embodiments of the present disclosure for achieving the objects is disclosed. The method includes loading a substrate into a sputtering chamber, connecting multiple targets to the chamber, injecting a mixed gas into the chamber, supplying power to each of the multiple targets and forming the conductive electrolyte layer on one surface of the substrate, and sintering the conductive electrolyte layer at a set sintering temperature.

Abstract: Provided is a pose estimation method in a 3D pose estimation apparatus for estimating a 3D pose of an object based on a graph convolution network (GCN). The pose estimation method comprises inputting a feature vector for a joint of the object; generating an affinity matrix according to the feature vector; generating a dynamic graph matrix by fusing the affinity matrix with a predefined static graph matrix of the graph convolution network; and estimating a 3D pose of the object for the feature vector by replacing the static graph matrix of the graph convolution network with the dynamic graph matrix. As a result, the performance of estimating a 3D pose can be greatly improved while almost maintaining the memory usage and inference time of the existing graph convolution network (GCN).

Abstract: An anomaly detection method includes searching for one principal component axis by analyzing a normal data set collected in time series from a plurality of IoT devices by using a principal component analysis technique, setting a center point of the principal component, receiving a currently measured measurement data set from the plurality of IoT devices, acquiring a linear transformation data set having a plurality of projection points as elements by projecting a plurality of measurement data which is each element in the measurement data set onto the principal component axis, calculating a Mahalanobis distance between the projection point and the central point, and detecting whether or not data of the IoT devices is abnormal by comparing the Mahalanobis distance calculated for each element with a threshold.

Abstract: A system for estimating for infectious disease transmission includes: a parameter receiving unit that constructs a discrete-time Markov chain model indicating a state and a state transition probability, and receives a parameter indicating status information according to the infectious disease transmission at a time point after t days have elapsed from a start of infection spread; a calculation unit that calculates the number of hidden infectious states through backward reasoning, and calculates the number of hidden infectious states through forward reasoning using the received parameter; an extraction unit that extracts an inverse scale coefficient using the calculated number of infection states and calculates a reproduction factor using the extracted inverse scale coefficient; and a prediction unit that updates infectious disease status information using the calculated reproduction factor, and predicts the number of hidden infectious persons using the updated infectious disease status information.

Abstract: Provided is a secure communication control system. The secure communication control system comprises a guest control unit provided in a guest operating system for generating a thread requesting arbitrary data from a host application installed in a host operating system; a guest shared key generation unit for generating a guest shared key to be used in the thread; a guest communication unit for transmitting the thread and the guest shared key to the host operating system; a host shared key generation unit for generating a host shared key corresponding to the guest shared key; a host control unit for requesting data according to the thread from the host application to receive the data from the host application, generating a session key from the guest shared key, and generating cipher text by encrypting the data using the session key; and a host communication unit for transmitting the cipher text and the host shared key to the guest operating system.

Abstract: A process wrapping method for bypassing native code anti-analysis includes receiving an execution instruction intended to run in an application from an Android framework when the application starts, extracting metadata of string and method from a compiled OAT file using an oatdump tool in the Android framework, determining if anti-analysis techniques are applied by comparing with information of a database (DB) based on the transmitted execution instruction and the extracted metadata, modifying the execution instruction based on the determined information when the anti-analysis technique is applied, and sending the modified execution instruction back to the Android framework. Accordingly, it is possible to provide an environment in which malicious applications to which anti-analysis techniques are applied can be easily analyzed.

Abstract: A counterattack method against a hacked node in a controller area network (CAN) bus physical layer includes: setting node IDs (NIDs), which are different unique IDs, for each of a plurality of nodes connected to a CAN bus line; determining that an error frame is generated when at least one of a node using a forged NID, a node using a different NID, and a node using a non-existent NID is found; increasing counts of a transmit error counter (TEC) and a receive error counter (REC) of a transmitting node and a receiving node whenever the error frame is generated; and allowing a node of which the count of the TEC or REC is greater than a set threshold value to enter a bus-off state to block the node.

Abstract: Disclosed are a method for changing a game parameter and a client for performing same. The client comprises: a processor for executing a game program; and a transceiver for communicating with a blockchain node of a blockchain network storing a first blockchain, wherein the processor may authenticate a user account and perform a first event of the game program accessed by the user account, the transceiver may transmit, to the blockchain node, a completion signal of the first event including information about the client when the first event is completed and receive, from the blockchain node, a request signal for generating a second event, the processor may generate the second event on the basis of the request signal for generating the second event, and the transceiver may transmit, to the blockchain node, information about the second event.

Abstract: The present disclosure relates to an apparatus and a method for deciding a behavior of an agent, and more particularly, to an apparatus and a method for deciding a behavior of a single agent using an episodic future thinking mechanism.

Abstract: The present disclosure relates to a driving characteristic inference apparatus and method of a vehicle. According to an exemplary embodiment of the present disclosure, a driving characteristic inference method includes observing a target driving vehicle which is an observation target to generate driving data including behavior information of the target driving vehicle, by an observation module; performing reinforcement learning on an artificial intelligence model using learning data including a first driving characteristic coefficient, by a learning module; generating sampled inference behavior data with the driving data and the first driving character coefficient as an input of the artificial intelligence model, by a model utilization module; and comparing the generated inference behavior data with measured actual behavior data to determine the second driving characteristic coefficient, by an inference module.

Abstract: Provided is an impedance spectroscopy analytical method for concrete using machine learning. The method comprises identifying electrical flow through moisture and a conductive ion present in concrete using a node that measures electricity based on electrochemical impedance spectroscopy (EIS); generating a theoretical equivalent circuit model comprising a conductive path reflecting the electrical flow: normalizing an equivalent circuit reflecting a concrete microstructure based on an impedance experiment using the theoretical equivalent circuit model; and generating a predictive model for estimating a water and cement ratio from a parameter value of the equivalent circuit through machine learning. Accordingly, the accuracy and reliability of estimating the microstructure and mixing ratio of the cement-based material can be increased.