Abstract: A method according to one embodiment includes generating one or more key tables based on a first seed value; generating one or more secret values from a tweak value based on the one or more key tables; and performing encryption or decryption using the one or more secret values. An apparatus according to one embodiment includes a key table generator configured to generate one or more key tables based on a first seed value, a secret value generator configured to generate one or more secret values from a tweak value based on the one or more key tables, and an encryptor/decryptor configured to perform encryption or decryption using the one or more secret values.

Abstract: An apparatus for optimizing quantum computation according to an embodiment includes a block generation module that identifies a portion requiring quantum computation from an input problem and generates a quantum calculation block from the identified portion, a block map management module that stores and manages a quantum computation block map including the generated quantum calculation block information, and a calculator determination module that determines a quantum calculator, which is to execute the quantum calculation block, among a plurality of quantum calculators including one or more quantum simulators and one or more quantum computers.

Abstract: A method of path routing in a multilayered structure including layers and one or more links formed between adjacent layers includes identifying path connection elements included in each layer of a multilayered structure with layers that can have at least one links between adjacent layers, generating, for each layer of the multilayered structure, an embedded frame including the path connection elements identified in each layer of the multilayered structure, generating a topological frame including an outer boundary enclosing one or more punctures formed by the links among the plurality of path connection elements included in the embedded frame and one or more local path points arranged on a boundary of each of the one or more punctures, and generating a circular frame including a single circular closed curve by merging the boundary of each of the one or more punctures and the outer boundary of the topological frame.

Abstract: An accelerated transaction processing apparatus includes a memory for storing one or more instructions, a communication interface for communicating with a blockchain network, and a processor. The processor is configured to determine whether the blockchain network is in a congested state based on monitoring information about the blockchain network, adjust a batch size based on a result of the determination, and perform batch processing for one or more individual transactions using the adjusted batch size.

Abstract: A method for data analysis according to an embodiment includes acquiring, from a client device, a ciphertext for a precomputation result generated by applying some of a plurality of operations for performing an analysis algorithm based on target data to the target data, and generating an encrypted computation result for remaining operations of the plurality of operations by using the ciphertext.

Abstract: A method for performing a matrix multiplication operation being secure against side-channel attacks according to one embodiment, which is performed by a computing device comprising one or more processors and a memory storing one or more programs to be executed by the one or more processors, includes shuffling an order of execution of multiplication operations between elements of a first matrix and elements of a second matrix for a matrix multiplication operation between the first matrix and the second matrix; and performing the matrix multiplication operation based on the shuffled order of execution.

Abstract: A method of registering biometric information according to an embodiment includes generating a registration target biometric template based on biometric information of a user, transmitting a biometric information registration request including the registration target biometric template to a server, acquiring transaction information based on the biometric information registration request from the server through one or more communication interfaces, generating an electronic signature for the transaction information using a private key, transmitting the electronic signature for the transaction information to the server through the one or more communication interfaces, and acquiring a registration result for the registration target biometric template based on a verification result for the electronic signature from the server through the one or more communication interface.

Abstract: A method for scheduling jobs for the calculator includes measuring core utilization of the second-type processor, when the measured core utilization is less than a reference value, transmitting, by the first-type processor, a job suspension instruction to suspend a first job, which is currently being executed, to the second-type processor, in response to the job suspension instruction, copying data of a region occupied by the first job in a memory of the second-type processor to a main memory, copying data of a second job stored in the main memory to the memory of the second-type processor, and transmitting, by the first-type processor, an instruction to execute the second job to the second-type processor.

Abstract: A method of training a malicious code detection model and a method of detecting a malicious code. The method includes acquiring application programming interface (API) call information of called functions from a result log of performing dynamic analysis of a malicious code, calculating time intervals between timestamps using the timestamps which indicate API call times extracted from the API call information, determining a feature value of the malicious code on the basis of the time intervals, and training the malicious code detection model using an API call sequence included in the API call information and the feature value.

Abstract: An image classification apparatus includes an image segmentation module configured to segment a learning image into a plurality of segment images, a primary classification module configured to perform machine learning on a primary classifier using the plurality of segment images, and a secondary classification module configured to calculate a weight value combination for creating a secondary classification estimation value for the learning image from a plurality of primary classification estimation values generated by passing the plurality of segment images to the trained primary classifier, or a machine learning-based learning parameter.

Abstract: A method for preventing forgery of data according to an embodiment includes determining a noise level based on metadata of original data, generating noise by applying the determined noise level to a preset noise pattern, generating transformed data of the original data by adding the generated noise to the original data, and transmitting the transformed data and the metadata to a server.

Abstract: There is provided an encryption processing method performed by an encryption processing apparatus. The encryption processing method comprises compressing data to obtain compressed data, determining, within the compressed data, a section to be encrypted and encrypting the section to obtain partially encrypted data.

Abstract: An apparatus for encryption according to an embodiment of the present disclosure comprises a classifier configured to classify each data included in an original data set into one of encryption target data and non-encryption target data on the basis of at least one of determination on whether or not an operation to be applied to each data included in the original data set for an analysis of the original data set is a preset operation and determination on whether or not each data included in the original data set is sensitive information; and an encryptor configured to encrypt the encryption target data among the data included in the original data set using a homomorphic encryption algorithm.

Abstract: Provided are an optimization system and method of a deep learning model. According to example embodiments, by optimizing the structure of the deep learning model appropriately for a target dataset without fixing the structure of the deep learning model, it is possible to generate a model structure capable of having high performance on the target dataset and also saving resources.

Abstract: A method of data encryption according to one embodiment includes generating a structured query language (SQL) syntax that includes manipulation target data and encryption policy identification information in the form of an annotation regarding the manipulation target data, receiving encryption policy information that corresponds to the encryption policy identification information in the form of an annotation from an encryption policy server, and converting the manipulation target data in the SQL syntax into cipher text on the basis of the encryption policy information.

Abstract: A content joint editing method according to an embodiment of the inventive concept may preserve the real-time property of update of edits as much as possible even if the number of editors increases when multiple editors simultaneously edit content. A content editing method can share and edit various contents without calling a separate external application in an online collaboration service. A content sharing method can manage each user's access rights to a content in individual content units in collaboration service that displays a plurality of contents at the same time in the collaboration space for sharing contents among multiple users.

Abstract: A method for performing an operation according to an embodiment includes assigning an error value to encrypted data; and performing a homomorphic operation for an approximation function, which is obtained by approximating a target function, by using, as an input value, the encrypted data to which the error value is assigned.

Abstract: A few-shot learning method according to an embodiment may be performed in a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. The method may include performing a first task for subjecting a first model to few-shot learning (FSL) based on one or more meta-training data and performing a second task for subjecting a second model to supervised learning based on one or more derived data modified from the one or more meta-training data.

Abstract: A content scheduling apparatus includes a content storage storing contents, a screen division information storage storing screen division information including a screen division form having division regions and time slot information including information about time slots allocated to each of the division regions, a content information storage storing content information including content list information about a list in which contents are listed for each of the division regions among the contents and content display order information including display orders each of which includes a display order of the contents listed foreach of the division regions, and a schedule generator to allocate the contents listed for each of the division regions to the time slots allocated to each of the division regions according to the content display order information so that the contents listed for each of the division regions are sequentially displayed on each of the division regions.

Abstract: An apparatus for congestion visualization according to an embodiment of the present invention includes an area-specific image storage configured to store area-specific images captured by a plurality of cameras which capture different regions in a specific space, respectively, a two-dimensional map storage configured to store a two-dimensional map for the specific space, an area-specific congestion calculator configured to calculate, based on the area-specific images, an area-specific congestion for each of capturing areas captured by the plurality of cameras in the specific space, a mapping area identifier configured to identify a mapping area corresponding to each of the capturing areas on the two-dimensional map, based on a mapping point set in each of the two-dimensional map and the area-specific images, and an area-specific congestion visualizer configured to visually displaying, on the two-dimensional map, the area-specific congestion for each of the capturing areas, based on the mapping area.