Abstract: Provided are a content caching optimization system and method. The content caching optimization system in which content priority in an information-centric networking (ICN) environment is taken into consideration includes one or more producer terminals configured to generate and provide content, one or more user terminals configured to transmit content requests according to users and receive content according to the content requests, one or more mobilelmultiple access edge cotnputings (MECs) configured to predict the number of requests for each piece of content to be requested later on the basis of the content requests received from the user terminals, and a software-defined network (SDN) controller configured to calculate a content popularity using the number of requests for each piece of content predicted by the MECs and perform content caching optimization on the basis of the calculated content popularity and a preset content priority.

Abstract: 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.

Abstract: 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.

Abstract: Provided are a client and a server which filter errors in signal data collected in a wireless signal map creating process and increase accuracy of a signal map, and a wireless signal map creating system using the same. The wireless signal map creating system collects a local wireless signal map, stores a global wireless signal map, calculates a predicted signal strength of a specific point using a reception strength of at least one point located adjacent to the specific point in the local wireless signal map, compares a wireless signal strength of the specific point in the local wireless signal map and a predicted signal strength to determine an error or not, and updates the global wireless signal map based on a determination result.