• 专利标题: Access controlling network architectures utilizing novel cellular signaled access control and machine-learning techniques to identify, rank modify and/or control automated programmable entities (such as robots/bots) and their visual schemas, and methods for use thereof
  • 申请号: US17750392
    申请日: 2022-05-22
  • 公开(公告)号: US11533619B1
    公开(公告)日: 2022-12-20
  • 发明人: Ari Kahn
  • 申请人: Ari Kahn
  • 申请人地址: US CA Mt. Shasta
  • 专利权人: Ari Kahn
  • 当前专利权人: Ari Kahn
  • 当前专利权人地址: US CA Mt. Shasta
  • 代理机构: Greenberg Traurig, LLP
  • 主分类号: H04L29/06
  • IPC分类号: H04L29/06 H04W12/08 H04W12/06
Access controlling network architectures utilizing novel cellular signaled access control and machine-learning techniques to identify, rank modify and/or control automated programmable entities (such as robots/bots) and their visual schemas, and methods for use thereof
摘要:
In some embodiments, an exemplary access controlling network architecture may include: a computer platform configured to: receive, from an online entity, an action performance request; request, from an access controlling platform, an expected access control digital key to be presented to the online entity; receive the expected access control digital key; instruct to display the expected access control digital key at a computing device; cause a mobile originating communication, having the expected access control digital key and an identity linked to the computing device; determine a lack of a receipt of the access authentication indicator associated with the online entity from the access controlling platform; and perform, due to, for example, the online entity being a BOT, one of: modifying a visual schema of the online entity, disabling the online entity, or suspending one of: a performance of the online entity or the performance of the action by the online entity.
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