中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

16 records (took 0.015 seconds)

    SYSTEM FOR INTRUSION DETECTION USING RESOURCE ACTIVITY ANALYSIS
    1.
    发明公开
    SYSTEM FOR INTRUSION DETECTION USING RESOURCE ACTIVITY ANALYSIS 审中-公开

    公开(公告)号：US20230208852A1

    公开(公告)日：2023-06-29

    申请号：US18118423

    申请日：2023-03-07

    Applicant: BANK OF AMERICA CORPORATION

    Inventor： Scott Anderson Sims ,  Andrew DongHo Kim ,  Craig Douglas Widmann ,  Jeffrey Brian Bashore

    IPC: H04L9/40 ,  H04W12/63 ,  H04W12/08

    CPC classification number: H04L63/107 ,  H04W12/08 ,  H04W12/63

    Abstract: Systems, computer program products, and methods are described herein for intrusion detection using resource activity analysis. The present invention is configured to receive, from a computing device of a user, an indication that the user has accessed a resource allocation portfolio of a customer; determine a geographic information of the user; retrieve a geographic information of the customer; determine that the geographic information of the user does not match the geographic information of the customer; determine an exposure level associated with the user access of the resource allocation portfolio of the customer; determine that the exposure level is greater than a predetermined threshold; and automatically trigger a transmission of a notification to a computing device of an administrator indicating that the exposure level associated with the user access of the resource allocation portfolio of the customer is greater than the predetermined threshold.

    System for detection and classification of intrusion using machine learning techniques
    2.
    发明授权
    System for detection and classification of intrusion using machine learning techniques 有权

    公开(公告)号：US11563744B2

    公开(公告)日：2023-01-24

    申请号：US17181608

    申请日：2021-02-22

    Applicant: BANK OF AMERICA CORPORATION

    Inventor： Scott Anderson Sims ,  Jeffrey Brian Bashore ,  Jeffrey David Finocchiaro ,  Craig Douglas Widmann

    IPC: H04L9/40 ,  G06N20/00 ,  G06K9/62

    Abstract: Systems, computer program products, and methods are described herein for detection and classification of intrusion using machine learning techniques. The present invention is configured to electronically receive, from a computing device of a user, an indication that the user has initiated a first resource interaction; retrieve information associated with the first resource interaction, wherein the information comprises at least one or more parameters associated with the first resource interaction; initiate a machine learning model on the one or more parameters associated with the first resource interaction; and classify, using the machine learning model, the first resource interaction into one or more classes, wherein the one or more classes comprises one or more access types.

    SYSTEM FOR DETECTION AND CLASSIFICATION OF INTRUSION USING MACHINE LEARNING TECHNIQUES
    4.
    发明申请
    SYSTEM FOR DETECTION AND CLASSIFICATION OF INTRUSION USING MACHINE LEARNING TECHNIQUES 有权

    公开(公告)号：US20230089968A1

    公开(公告)日：2023-03-23

    申请号：US18072526

    申请日：2022-11-30

    Applicant: BANK OF AMERICA CORPORATION

    Inventor： Scott Anderson Sims ,  Jeffrey Brian Bashore ,  Jeffrey David Finocchiaro ,  Craig Douglas Widmann

    IPC: H04L9/40 ,  G06N20/00 ,  G06K9/62

    Abstract: Systems, computer program products, and methods are described herein for detection and classification of intrusion using machine learning techniques. The present invention is configured to electronically receive, from a computing device of a user, an indication that the user has initiated a first resource interaction; retrieve information associated with the first resource interaction, wherein the information comprises at least one or more parameters associated with the first resource interaction; initiate a machine learning model on the one or more parameters associated with the first resource interaction; and classify, using the machine learning model, the first resource interaction into one or more classes, wherein the one or more classes comprises one or more access types.

    System for intrusion detection using resource activity analysis
    6.
    发明授权
    System for intrusion detection using resource activity analysis 有权

    公开(公告)号：US11949686B2

    公开(公告)日：2024-04-02

    申请号：US18118423

    申请日：2023-03-07

    Applicant: BANK OF AMERICA CORPORATION

    Inventor： Scott Anderson Sims ,  Andrew DongHo Kim ,  Craig Douglas Widmann ,  Jeffrey Brian Bashore

    IPC: H04L9/40 ,  G06F21/32 ,  G06F21/62 ,  H04W12/08 ,  H04W12/63

    CPC classification number: H04L63/107 ,  G06F21/32 ,  G06F21/6245 ,  H04W12/08 ,  H04W12/63

    Abstract: Systems, computer program products, and methods are described herein for intrusion detection using resource activity analysis. The present invention is configured to receive, from a computing device of a user, an indication that the user has accessed a resource allocation portfolio of a customer; determine a geographic information of the user; retrieve a geographic information of the customer; determine that the geographic information of the user does not match the geographic information of the customer; determine an exposure level associated with the user access of the resource allocation portfolio of the customer; determine that the exposure level is greater than a predetermined threshold; and automatically trigger a transmission of a notification to a computing device of an administrator indicating that the exposure level associated with the user access of the resource allocation portfolio of the customer is greater than the predetermined threshold.

    SYSTEM FOR DETECTION AND CLASSIFICATION OF INTRUSION USING MACHINE LEARNING TECHNIQUES
    8.
    发明申请
    SYSTEM FOR DETECTION AND CLASSIFICATION OF INTRUSION USING MACHINE LEARNING TECHNIQUES 有权

    公开(公告)号：US20220272093A1

    公开(公告)日：2022-08-25

    申请号：US17181608

    申请日：2021-02-22

    Applicant: BANK OF AMERICA CORPORATION

    Inventor： Scott Anderson Sims ,  Jeffrey Brian Bashore ,  Jeffrey David Finocchiaro ,  Craig Douglas Widmann

    IPC: H04L29/06 ,  G06K9/62 ,  G06N20/00

    Abstract: Systems, computer program products, and methods are described herein for detection and classification of intrusion using machine learning techniques. The present invention is configured to electronically receive, from a computing device of a user, an indication that the user has initiated a first resource interaction; retrieve information associated with the first resource interaction, wherein the information comprises at least one or more parameters associated with the first resource interaction; initiate a machine learning model on the one or more parameters associated with the first resource interaction; and classify, using the machine learning model, the first resource interaction into one or more classes, wherein the one or more classes comprises one or more access types.

Patent Agency Ranking