SYSTEM FOR ESTIMATING FOR INFECTIOUS DISEASE TRANSMISSION

    公开(公告)号:US20240047079A1

    公开(公告)日:2024-02-08

    申请号:US17960849

    申请日:2022-10-06

    CPC classification number: G16H50/80

    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.

    SECURE COMMUNICATION CONTROL SYSTEM AND METHOD USED IN VIRTUALIZED OPERATING SYSTEM ENVIRONMENT

    公开(公告)号:US20240037281A1

    公开(公告)日:2024-02-01

    申请号:US18020414

    申请日:2020-11-27

    CPC classification number: G06F21/629 G06F21/602 H04L9/0861

    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.

    APPARATUS AND METHOD FOR DECISION-MAKING OF AGENT USING EPISODIC FUTURE THINKING MECHANISM

    公开(公告)号:US20230406350A1

    公开(公告)日:2023-12-21

    申请号:US17959550

    申请日:2022-10-04

    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. The decision-making method according to an exemplary embodiment of the present disclosure includes collecting observation information and behavior information of a surrounding agent, by a first information collecting unit; inferring a character coefficient of a surrounding agent using data of the first information collecting unit, by a character inferring unit, collecting observation information of a main agent and the surrounding agent at a first time point, by a second information collecting unit; predicting a behavior of the surrounding agent based on the observation information and the character coefficient of the surrounding agent, by a behavior predicting unit, inferring expected observation information of the environment state and the surrounding agent at a second time point corresponding to the behavior prediction result of the surrounding agent, by a state inferring unit; and deciding a behavior of the main agent at the first time point based on the expected observation information of the environment state and the surrounding agent at a second time point, by a decision-making unit.

    SYSTEM FOR DETECTING HIERARCHICAL NETWORK INTRUSION USING HIDDEN LAYER INFORMATION OF AUTOENCODER AND METHOD THEREOF

    公开(公告)号:US20230351198A1

    公开(公告)日:2023-11-02

    申请号:US17979728

    申请日:2022-11-02

    CPC classification number: G06N3/091 H04L63/1425 G06N3/0455

    Abstract: The present disclosure provides a hierarchical network intrusion detection method including preprocessing normal data for training, outputting reconstruction data by inputting the preprocessed normal data for training into an autoencoder, calculating a reconstruction error by using the preprocessed normal data for training and the reconstruction data, training the autoencoder to minimize a reconstruction error, extracting hierarchical information of the autoencoder, setting a threshold value by using latent vector for the normal data for training, the reconstruction data, and an output value of each of L hidden layers included in an encoder, calculating anomaly scores of the latent vector for the network data, the reconstruction data, and an output value of each of the L hidden layers in a state in which a target network data is input to the autoencoder, and determining whether an intrusion into the network data is detected by using the threshold value and the anomaly scores.

    Bit flipping device and method and computer readable program for the same

    公开(公告)号:US11791841B2

    公开(公告)日:2023-10-17

    申请号:US17861509

    申请日:2022-07-11

    CPC classification number: H03M13/1108 H03M13/4138 H03M13/6343

    Abstract: Provided are a bit flipping device and method and a computer readable program for the same. The bit flipping device for input data having a two-dimensional array pattern includes: a clustering unit configured to generate at least one input data sequence based on the two-dimensional array pattern of the input data and classify the input data sequence into at least one cluster according to a preset method; and a bit flipping unit configured to perform bit flipping on erroneous bits in the input data sequence based on the classified cluster. Therefore, it is possible to further reduce inefficiency while further reducing system complexity compared to the existing error correction code-based bit flipping method by coupling the bit flipping device to an output side of a partial response maximum likelihood (PRML) detector to classify an output value of the PRML detector into at least one cluster and perform bit flipping based on the classified result.

    APPARATUS AND METHOD FOR DETECTION AND CLASSIFICATION OF MALICIOUS CODES BASED ON ADJACENCY MATRIX

    公开(公告)号:US20230306112A1

    公开(公告)日:2023-09-28

    申请号:US18020904

    申请日:2020-11-26

    CPC classification number: G06F21/563 G06F21/554

    Abstract: Provided is an apparatus for detecting and classifying malicious code. The malicious code detection and classification apparatus comprise a graph-generating unit configured to generate graph information from source data including a plurality of nodes corresponding to APIs included in the source data and one or more edges connecting between the plurality of nodes; a matrix-generating unit configured to generate an adjacency matrix between the APIs included in the source data using the graph information; and a machine-learning unit configured to detect malicious code included in the source data using the adjacency matrix as an input value for a machine-learning-based analysis model. According to the malicious code detection and classification apparatus, since a call graph between APIs is converted into an adjacency matrix, in which each row and each column are APIs, and used as an input value for a machine-learning-based analysis model, it has the advantage of being able to detect malicious code with a high detection rate and accuracy compared to the prior art.

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