Abstract: Disclosed herein is an apparatus and method for federated learning based on group key management. The apparatus receives learning group participation request information from a learning node that intends to participate in a federated learning group, updates a group key required for the learning node to participate in federated learning using a key material generated by hashing the learning group participation request information, decrypts an encrypted local variable received from the learning node and thereby updates the same to a global variable, and transmits the global variable to the learning node after encrypting the same using the updated group key.

Abstract: Disclosed herein is an apparatus and method for federated learning based on group key management. The apparatus receives learning group participation request information from a learning node that intends to participate in a federated learning group, updates a group key required for the learning node to participate in federated learning using a key material generated by hashing the learning group participation request information, decrypts an encrypted local variable received from the learning node and thereby updates the same to a global variable, and transmits the global variable to the learning node after encrypting the same using the updated group key.

Abstract: Disclosed herein are an apparatus and method for generating a data set. 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 classifies collected data into numerical feature data and categorical feature data using a filter method, performs correlation analysis on the numerical feature data and the categorical feature data using an analysis of variance (ANOVA) method and a Chi-Squared method, and generates a data set for supervised learning and a data set for unsupervised learning using correlation scores calculated through correlation analysis.

Abstract: A storage device includes a nonvolatile memory device having a plurality of memory cells and a storage controller. Each memory cell is set to one of a plurality of memory cell states, wherein distinct subsets of the memory cell states are associated with one of a plurality of data sets. The storage controller accesses data stored in one of the memory cells in a first state, performs a multiplier-accumulator (MAC) operation on the data, and sets the one memory cell to a second state corresponding to a result of the MAC operation to perform an in-place update.

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.

Abstract: Disclosed herein are an apparatus and method for generating a data set. 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 classifies collected data into numerical feature data and categorical feature data using a filter method, performs correlation analysis on the numerical feature data and the categorical feature data using an analysis of variance (ANOVA) method and a Chi-Squared method, and generates a data set for supervised learning and a data set for unsupervised learning using correlation scores calculated through correlation analysis.

Abstract: A storage device includes a nonvolatile memory device having a plurality of memory cells and a storage controller. Each memory cell is set to one of a plurality of memory cell states, wherein distinct subsets of the memory cell states are associated with one of a plurality of data sets. The storage controller accesses data stored in one of the memory cells in a first state, performs a multiplier-accumulator (MAC) operation on the data, and sets the one memory cell to a second state corresponding to a result of the MAC operation to perform an in-place update.

Abstract: A storage device includes a nonvolatile memory device having a plurality of memory cells and a storage controller. Each memory cell is set to one of a plurality of memory cell states, wherein distinct subsets of the memory cell states are associated with one of a plurality of data sets. The storage controller accesses data stored in one of the memory cells in a first state, performs a multiplier-accumulator (MAC) operation on the data, and sets the one memory cell to a second state corresponding to a result of the MAC operation to perform an in-place update.

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.

Abstract: A storage device includes a nonvolatile memory device having a plurality of memory cells and a storage controller. Each memory cell is set to one of a plurality of memory cell states, wherein distinct subsets of the memory cell states are associated with one of a plurality of data sets. The storage controller accesses data stored in one of the memory cells in a first state, performs a multiplier-accumulator (MAC) operation on the data, and sets the one memory cell to a second state corresponding to a result of the MAC operation to perform an in-place update.

Abstract: Disclosed herein are a lamp module that includes a double insulation structure and a cooling structure, thus being usable even in a high temperature condition, and a cooking appliance including the same. The cooking appliance includes a cooking compartment, a cooling fan disposed at an upper portion of the cooking compartment to suction outside air, and a lamp module configured to illuminate an inside of the cooking compartment and disposed adjacent to the cooling fan to exchange heat with the outside air suctioned by the cooling fan.

Abstract: Some features pertain to a device package that includes a die and a package substrate. The die includes a first switch. The package substrate is coupled to the die. The package substrate includes at least one dielectric layer, a primary inductor, and a first secondary inductor coupled to the first switch of the die. The first secondary inductor and the first switch are coupled to a plurality of interconnects configured to provide an electrical path for a reference ground signal. The primary inductor is configurable to have different inductances by opening and closing the first switch coupled to the first secondary inductor. In some implementations, the primary inductor is configurable in real time while the die is operational. In some implementations, the die further includes a second switch, and the package substrate further includes a second secondary inductor coupled to the second switch of the die.

Abstract: Disclosed are a p-doped conjugated small molecular electrolyte containing a compound represented by Formula 1 and an organic electronic device using the same as a hole transport material. [Ar2—Ar1—Ar2]+??<Formula 1> wherein, in Formula 1, Ar1 is any one selected from the following Compound Group 1, Ar2 is any one selected from the following Compound Group 2a or the following Compound Group 2b, and superscript “+” in the square bracket indicates an oxidized portion of a main chain of the small molecule.

Abstract: A memory device comprises a memory cell array including a first memory cell disposed on a substrate and a second memory cell above the first memory cell; a first word line connected to the first memory cell and a second word line connected to the second memory cell, the second word line disposed above the first word line; and a word line defect detection circuit configured to monitor a number of pulses of a pumping clock signal while applying a first voltage to the first word line to detect a defect of the first word line. The voltage generator is configured to apply a second voltage different from the first voltage to the second word line for programming the second memory cell when the number of pulses of the pumping clock signal is smaller than a reference value.

Abstract: A method, an apparatus, and a system for analyzing traffic through obtaining flow data of a flow from a switch or a router of a network, calculating an average byte per packet rate (BPR) and a TCP flag ratio (TCPFR) for all flows included in a session including the flow using the flow data, and comparing the average BPR and the TCPFR with an average BPR and a TCPFR of previously-known traffic and determining whether the traffic including the flow is normal traffic or abnormal traffic based on the comparison result are provided.

Abstract: Disclosed herein is a cooking appliance having an improved cooling mechanism. The cooking appliance includes a first cavity forming a first cooking chamber and a second cavity forming a second cooking chamber, and has a cooling mechanism for cooling both the first cavity and the second cavity. A separate third cooling channel is formed to exhaust air from the first cooking chamber. A vent for the first and second cavities may be formed at a lower portion of the second cavity such that air may be exhausted via the vent.

Abstract: Disclosed is a method for detecting a cyberthreat through correlation analysis of security events, which includes extracting a false-positive data set by extracting, from source data, information about security events occurring during a predetermined time period based on a time at which erroneous detection occurred; extracting a true-positive data set by extracting, from the source data, information about security events occurring during the predetermined time period based on a time at which an intrusion threat was correctly detected; extracting a current data set by extracting information about security events occurring during the predetermined time period from data to be analyzed; generating event coincidence statistics by extracting a frequency of each security event in the respective data sets and by compiling statistics thereon; generating an event vector based on the event coincidence statistics; and performing intrusion threat detection through a vector space model based on the event vector.

Abstract: A method and a computation apparatus detecting cyber threats using a neural network through steps of: generating a learning model by performing machine learning on training data based on baseline data, converting a security event collected in real time into input data for the neural network, and determining, as an output corresponding to the input data based on the learning model, whether the security event is normal or threat are provided.

Abstract: A memory device can include: a memory cell array including a memory cell and a word line that is connected to the memory cell; a clock generator configured to generate a first pumping clock signal from a system clock signal; a charge pump configured to provide a pumping voltage signal using a power supply voltage and the first pumping clock signal; a compensation circuit configured to compensate for variations in a first reference clock signal in accordance with variations in the power supply voltage, and provide a compensated first reference clock signal; and a pass/fail (P/F) determining circuit configured to determine whether the word line is defective by comparing the first pumping clock signal and the compensated first reference clock signal while the pumping voltage signal is provided to the word line.

Abstract: A magnetic resonance wireless power transmission device capable of adjusting resonance frequency is disclosed. A wireless power transmission device according to an embodiment of the present invention comprises: a power amplifier for amplifying a wireless power signal using a driving frequency signal; a resonator for configuring a resonance tank and wirelessly transmitting, through magnetic resonance, the wireless power signal output from the power amplifier using a resonance frequency of the resonance tank; and a resonance control unit for controlling a duty ratio using a frequency applied to the resonator or a frequency signal generated by the resonator and adjusting the resonance frequency of the resonator.