Discriminator generation device, discriminator generation method, and discriminator generation program
AssigneeNippon Telegraph and Telephone Corporation
InventorsShun TOBIYAMA, Kazunori KAMIYA, Bo HU
Life of this patent
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Abstract
An identifier generation device includes 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.
Claims8
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.
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.
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.
Dependencies are inferred from the claim text.