Title:
人工知能マシンラーニング行為ベースウェブプロトコル分析によるウェブ攻撃検知および遮断システムおよび方法
Document Type and Number:
Japanese Patent JP7391313
Kind Code:
B2
Abstract:
Provided is a web attack detection system based on artificial intelligence, comprising: a filter unit for receiving a plurality of HTTP request packets from a web user; a learning unit for extracting a plurality of features from the plurality of HTTP request packets, clustering the plurality of HTTP request packets into a plurality of groups on the basis of the plurality of features, transmitting the clustered information to a web manager server, receiving, from the web manager server, labeling information about whether the plurality of groups is an abnormal cluster, and performing machine learning on the basis of the labeling information; and an analysis unit for determining whether the HTTP request packet received from the web user is a web attack packet by using the machine learning in which the HTTP request packet received from the web user is used as an input variable.
Inventors:
Lee Daeho
Li Donggun
Lee In Young
Li Donggun
Lee In Young
Application Number:
JP2022551682A
Publication Date:
December 05, 2023
Filing Date:
December 08, 2020
Export Citation:
Assignee:
F1 SECURITY INC.
International Classes:
H04L43/08; G06N20/00; H04L12/22; H04L41/16; H04L67/02; H04L67/1396
Domestic Patent References:
| JP2019535068A | ||||
| JP2019185183A | ||||
| JP2013232716A |
Attorney, Agent or Firm:
Tomoharu Ashikita
Hiroyuki Kojima
Hiroyuki Kojima
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