Soongsil University

Thien-phuc Doan

Soohwan Jung

Souhwan Jung

Ngoc-Tu Chau

Hyunseok Shim

Songi Gwak

Kihun Hong

Provided is a method for detecting a synthetic voice based on a biological sound, the method comprises receiving an audio stream; extracting a biological feature vector corresponding to a meaningless voice from the audio stream; extracting a synthetic voice feature vector from the audio stream; combining the biological feature vector and the synthetic voice feature vector to generate a combined feature vector; and determining whether the audio stream is a synthetic voice based on the combined feature vector. Accordingly, it is possible to detect a synthetic voice at a lower computational cost than a conventional neural network that detects a synthetic voice by learning the correlation between frames.

Synthetic voice detection method based on biological sound, recording medium and apparatus for performing the same

Provided is a resource monitoring apparatus including a log generation unit for extracting a method requested from a hardware abstraction layer and generating a log; a log classification unit for classifying the generated log according to a type of an interface connected to the method; and a log determination unit for identifying a malicious activity from the classified log based on pattern information of the log set differently depending on the type of the interface.

Resource monitoring device and method using hardware abstraction layer

Provided is a design method for sharing a profile in a container environment, including: extracting a sensitive context defined as information related to system-based access control or a sandboxing policy and an insensitive context defined as information unrelated to security for a profile provided by a developer; extracting the sensitive context and the insensitive context for the profile provided by a host; fetching a max configuration for the sensitive and insensitive contexts from each image layer of the developer; and generating a final profile that is applied to deploy the container by merging the host profile with the max configuration fetched from the developer profile. Accordingly, it is possible to provide an optimal environment to developers and hosts by generating the final profile with a hierarchical model using the host profile and the developer profile.

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Seoul, South Korea

Thien-phuc Doan