发明授权
- 专利标题： Method and apparatus for detecting abnormal traffic based on convolutional autoencoder
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申请号： US16231797申请日： 2018-12-24
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公开(公告)号： US10783395B2公开(公告)日： 2020-09-22
- 发明人: Seung Young Park , Sang Gyoo Sim , Duk Soo Kim , Seok Woo Lee , Myung Jin Kim
- 申请人： Penta Security Systems Inc.
- 申请人地址： KR Seoul
- 专利权人： PENTA SECURITY SYSTEMS INC.
- 当前专利权人： PENTA SECURITY SYSTEMS INC.
- 当前专利权人地址： KR Seoul
- 代理机构： Goldilocks Zone IP Law
- 优先权： com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@5511cec2
- 主分类号： G06K9/00
- IPC分类号： G06K9/00 ; G06K9/46 ; H04L29/06 ; G06K9/62 ; G06N3/04 ; G06K9/68
摘要：
Disclosed herein are a method and an apparatus for detecting abnormal traffic based on a convolutional autoencoder (CAE). The method of detecting abnormal traffic based on the CAE may include converting a character string of normal traffic into an image, learning the converted image using the CAE, and detecting abnormal traffic by inputting target traffic to the learned CAE.
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