- 专利标题: DETECTING MALICIOUS USERS IN A DECENTRALIZED AUTONOMOUS ORGANIZATION
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申请号: US18159654申请日: 2023-01-25
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公开(公告)号: US20240250971A1公开(公告)日: 2024-07-25
- 发明人: Samuel RAPOWITZ , Michael MOSSOBA , Dennis LIU , Austin ERICKSON
- 申请人: Capital One Services, LLC
- 申请人地址: US VA McLean
- 专利权人: Capital One Services, LLC
- 当前专利权人: Capital One Services, LLC
- 当前专利权人地址: US VA McLean
- 主分类号: H04L9/40
- IPC分类号: H04L9/40 ; H04L9/00
摘要:
Methods and systems disclosed herein may detect a malicious user by scanning the messaging platform with the members for any malicious content using sentiment detection. Sentiment detection may be performed using a machine learning model or another type of sentiment detection. For example, the machine learning model may detect a malicious comment and then determine whether the user is malicious using a variety of behavior patterns. For example, the machine learning model may use factors like reactions from the community, sentiment analysis, and the number of posts to determine whether the user is malicious. By doing so, the system is able to search constantly for users that may be malicious.
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