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公开(公告)号:EP4213044A1
公开(公告)日:2023-07-19
申请号:EP20957653.7
申请日:2020-10-14
发明人: NAKANO, Hiroki , CHIBA, Daiki
IPC分类号: G06F16/9532 , G06F21/44
摘要: An acquisition unit (15a) acquires user-generated content generated in each service in a predetermined period. A generation unit (15b) generates a search query by using words that appear in the user-generated content for each service. A collection unit (15c) collects user-generated content generated in a plurality of services by using the generated search query.
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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
发明人: NAKANO, Hiroki , CHIBA, Daiki
IPC分类号: G06F21/44 , G06F21/50 , G06F16/908
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.
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公开(公告)号:EP4213048A1
公开(公告)日:2023-07-19
申请号:EP20957650.3
申请日:2020-10-14
发明人: NAKANO, Hiroki , CHIBA, Daiki
IPC分类号: G06F21/44 , G06F21/50 , G06F16/908
摘要: A calculation unit (15d) calculates a characteristic amount of user-generated content generated by a user in a predetermined period. A learning unit (15e) performs learning using the calculated characteristic amount of the user-generated content generated by a legitimate user and a characteristic amount of content generated by a malicious user. A determination unit (15f) determines whether the user-generated content is generated by the malicious user using a learned model.
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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
发明人: NAKANO, Hiroki , CHIBA, Daiki
IPC分类号: G06F21/44 , G06F21/50 , G06F16/908
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.
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