Remotely controlling access to online content

    公开(公告)号:US11301572B2

    公开(公告)日:2022-04-12

    申请号:US16990404

    申请日:2020-08-11

    摘要: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

    Method and system to enable controlled safe internet browsing

    公开(公告)号:US10805303B2

    公开(公告)日:2020-10-13

    申请号:US16239176

    申请日:2019-01-03

    摘要: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

    METHOD FOR PROTECTING IOT DEVICES FROM INTRUSIONS BY PERFORMING STATISTICAL ANALYSIS

    公开(公告)号:US20190182278A1

    公开(公告)日:2019-06-13

    申请号:US15839766

    申请日:2017-12-12

    IPC分类号: H04L29/06 G06N3/08

    摘要: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

    Remotely controlling access to online content

    公开(公告)号:US10776499B2

    公开(公告)日:2020-09-15

    申请号:US16560622

    申请日:2019-09-04

    发明人: John Jun Wu John S Yi

    摘要: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.

    Method and System to Enable Controlled Safe Internet Browsing

    公开(公告)号:US20190141044A1

    公开(公告)日:2019-05-09

    申请号:US16239176

    申请日:2019-01-03

    IPC分类号: H04L29/06 G06N20/00 G06F21/62

    摘要: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

    Remotely Controlling Access to Online Content

    公开(公告)号:US20220337592A1

    公开(公告)日:2022-10-20

    申请号:US17717591

    申请日:2022-04-11

    IPC分类号: H04L9/40

    摘要: Various embodiments provide an approach to controlled access to online content. Such control may be based on a multitude of factors including but not limited to website content, profile for the person consuming the data. In operation, machine-learning techniques are used to classify the websites based on community and social media inputs, crowd-sourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine-learning techniques. Embodiments may also allow for real, or near real-time, approval or denial of access to websites by registered admins.