EXTRACTION DEVICE, EXTRACTION METHOD, AND EXTRACTION PROGRAM

    公开(公告)号:EP4231179A1

    公开(公告)日:2023-08-23

    申请号:EP20957652.9

    申请日:2020-10-14

    摘要: An extraction unit (15g) accesses an entrance URL described in user-generated content generated by a user in a plurality of services in a predetermined period to extract a feature quantity of the user-generated content. The training unit (15e) performs training by using the extracted feature quantity of the user-generated content generated by a normal user and a feature quantity of content generated by a malicious user. A determination unit (15f) determines whether or not the user-generated content has been generated by the malicious user using a trained model.

    DETECTION DEVICE, DETECTION METHOD, AND DETECTION PROGRAM

    公开(公告)号:EP4213049A1

    公开(公告)日:2023-07-19

    申请号:EP20957651.1

    申请日:2020-10-14

    摘要: A generation unit (15b) generates a search query, using words appearing in the user generation content for each service. A collection unit (15c) collects the user generation content generated in a plurality of services, using the generated search query. A calculation unit (15d) calculates a feature amount of the user generation content of the collected predetermined service. A learning unit (15e) performs learning, using the feature amount of the user generation content generated by a normal user and a feature amount of a content generated by a malicious user. A determination unit (15f) determines whether the user generation content is generated by a malicious user by the learned model. An extraction unit (15g) accesses an entrance URL described in the user generation content and outputs a feature amount of an attack of the user generation content as threat information, when the user generation content is determined to be generated by the malicious user.