DISCRIMINATOR GENERATION DEVICE, DISCRIMINATOR GENERATION METHOD, AND DISCRIMINATOR GENERATION PROGRAM

1 . An identifier generation device comprising:

identifier generation circuitry configured to:

acquire flow data of an application;

calculate first feature vectors from the flow data;

convert the first feature vectors into second feature vectors to which feature vectors of an identical type of application are similar;

cluster the second feature vectors and add a pseudo-label to the clustered second feature vectors;

generate a learning data set from the second feature vectors to which the pseudo-label is added;

supply the learning data set to an identifier; and

update a setting of the identifier to which the learning data set is supplied.

2 . The identifier generation device according to claim 1 ,

wherein the identifier generation circuitry configured to:

acquire the flow data for each Internet Protocol (IP) address;

calculate the statistical first feature vector for each IP address;

convert the first feature vectors into the second feature vectors mapped to a predetermined latent space; and

perform unsupervised clustering on the second feature vectors.

3 . The identifier generation device according to claim 2 ,

wherein the identifier generation circuitry configured to:

acquire the flow data for each of the IP addresses per predetermined time; and

calculate, as the first feature vector, at least one of histograms of the number of packets, the number of bytes, and the number of bytes per packet.

4 . The identifier generation device according to claim 2 , wherein the identifier generation circuitry configured to perform unsupervised clustering of the second feature vector a plurality of times by a predetermined scheme.

5 . The identifier generation device according to claim 2 , wherein the identifier generation circuitry configured to randomly extract the second feature vector to which the pseudo-label is added, and generate the learning data set including a predetermined number of pieces of learning data.

6 . The identifier generation device according to claim 1 , wherein the identifier generation circuitry configured to update a setting of an initial parameter or a learning method based on information regarding a parameter of the identifier and identification accuracy of test data before and after the learning data set is supplied.

7 . An identifier generation method executed by an identifier generation device, the method comprising:

acquiring flow data of an application;

calculating first feature vectors from the flow data;

converting the first feature vectors into second feature vectors to which feature vectors of an identical type of application are similar;

clustering the second feature vectors and adding a pseudo-label to the clustered second feature vectors;

generating a learning data set from the second feature vectors to which the pseudo-label is added;

supplying the learning data set to an identifier; and

updating a setting of the identifier to which the learning data set is supplied.

8 . A non-transitory computer-readable recording medium storing therein an identifier generation program causing a computer to execute a process comprising:

acquiring flow data of an application;

calculating first feature vectors from the flow data;

converting the first feature vectors into second feature vectors to which feature vectors of an identical type of application are similar;

clustering the second feature vectors and adding a pseudo-label to the clustered second feature vectors;

generating a learning data set from the second feature vectors to which the pseudo-label is added;

supplying the learning data set to an identifier; and

updating a setting of the identifier to which the learning data set is supplied.