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公开(公告)号:US20210240827A1
公开(公告)日:2021-08-05
申请号:US17100541
申请日:2020-11-20
Inventor: Jung-Tae KIM , Ji-Hyeon SONG , Ik-Kyun KIM , Young-Su KIM , Jong-Hyun KIM , Jong-Geun PARK , Sang-Min LEE , Jong-Hoon LEE
Abstract: Disclosed herein are an apparatus and method for detecting a malicious script. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program is configured to extract token-type features, each of which corresponds to a lexical unit, and tree-node-type features of an abstract syntax tree from an input script, to train two learning models to respectively learn two pieces of learning data that are generated in consideration of features extracted respectively from the token-type features and the node-type features as having the highest frequency, and to detect whether the script is a malicious script based on the result of ensemble-based malicious script detection performed for the script, which is acquired using an ensemble detection model generated from the two learning models.
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公开(公告)号:US20250078107A1
公开(公告)日:2025-03-06
申请号:US18408765
申请日:2024-01-10
Inventor: Cheol-Hee PARK , Jong-Hyun KIM , Kyung-Min PARK , Ji-Hyeon SONG
IPC: G06Q30/0207
Abstract: Disclosed herein are a reward apparatus and method for blockchain-based blockchain-based Reconfigurable Intelligent Surface (RIS) infrastructure sharing. The reward apparatus for blockchain-based RIS infrastructure sharing may provide a service to a service user terminal through an RIS node, verify a contribution of the RIS node to provision of the service quantified by the RIS node using a first blockchain network, and provide a reward to the RIS node depending on the contribution.
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公开(公告)号:US20240104195A1
公开(公告)日:2024-03-28
申请号:US18335813
申请日:2023-06-15
Inventor: Sang-Min LEE , Ki-Jong KOO , Jung-Tae KIM , Ji-Hyeon SONG , Jong-Hyun KIM , Dae-Sung MOON
CPC classification number: G06F21/53 , G06F9/45558 , G06F21/564 , G06F2009/45562
Abstract: Disclosed herein are an apparatus and method for updating an Internet-based malware detection engine using virtual machine scaling. The method may include creating a scaling group and an update group set based on a first virtual machine image, creating a second virtual machine image for a running virtual machine in response to occurrence of a snapshot event in the virtual update group run based on the first virtual machine image, modifying the scale-out image of the scaling group to the second virtual machine image, updating the scaling group by triggering a scale-out event and a scale-in event in the scaling group in response to occurrence of an update event, and modifying the scale-in image of the scaling group to the second virtual machine image.
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公开(公告)号:US20220138319A1
公开(公告)日:2022-05-05
申请号:US17461337
申请日:2021-08-30
Inventor: Jung-Tae KIM , Ji-Hyeon SONG , Jong-Hyun KIM , Sang-Min LEE , Ik-Kyun KIM , Dae-Sung MOON
Abstract: Disclosed herein are an apparatus for detecting unknown malware using a variable-length operation code (opcode) and a method using the apparatus. The method includes collecting opcode information from a detection target, generating a multi-pixel image having a variable length by performing feature engineering on the opcode information; and detecting unknown malware by inputting the multi-pixel image to a deep-learning model based on AI.
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