专利检索 ap:("Ryan B. Benskin" OR "Lawrence T. Belton, Jr." OR "Christopher Houser" OR "Peter A. Makohon" OR "Timothy Morris" OR "Omar Bracey") AND inv:"Omar Bracey" 第 1 页

1.

发明授权
Authentication and authorization without the use of supplicants 有权

公开(公告)号：US09794265B1

公开(公告)日：2017-10-17

申请号：US14658356

申请日：2015-03-16

申请人： Ryan B. Benskin , Lawrence T. Belton, Jr. , Christopher Houser , Peter A. Makohon , Timothy Morris , Omar Bracey

发明人： Ryan B. Benskin , Lawrence T. Belton, Jr. , Christopher Houser , Peter A. Makohon , Timothy Morris , Omar Bracey

IPC分类号： G06F7/04 , H04L29/06 , H04W12/08 , H04W12/06

CPC分类号： H04L63/102 , H04L63/0823 , H04W12/06 , H04W12/08

摘要： Provided is authentication and authorization without the use of supplicants. Authentication and authorization includes generating a profile for a device based on at least one characteristic observed during a successful attempt by the device to access an 802.1X network infrastructure. Expected characteristics for a next attempt to access the infrastructure by the device are determined. A characteristic of the next access attempt is matched to the expected characteristic and access to the network is selectively controlled as a result of the matching. This is achieved without a supplicant being installed on the device.

2.

发明授权
Predictive modeling for anti-malware solutions 有权

公开(公告)号：US09749353B1

公开(公告)日：2017-08-29

申请号：US14658378

申请日：2015-03-16

申请人： Ryan B. Benskin , Lawrence T. Belton, Jr. , Christopher Houser , Peter A. Makohon , Timothy Morris , Omar Bracey

发明人： Ryan B. Benskin , Lawrence T. Belton, Jr. , Christopher Houser , Peter A. Makohon , Timothy Morris , Omar Bracey

IPC分类号： G06F11/00 , G06F12/14 , H04L29/06 , G06N5/04 , G06N99/00

CPC分类号： H04L63/145 , G06F21/44 , G06N99/005

摘要： Provided is predictive modeling for anti-malware solutions. The predictive modeling includes an identification manager component that generates profile data for a hostile source. The hostile source is identified based on a previous threat attributed to the hostile source. The predictive modeling also includes an evaluation component that determines a characteristic of an interaction between a source and an endpoint. Further, the predictive modeling includes a validation component that compares the characteristic of the interaction with the profile data and controls access to the source by the endpoint based on the comparison. In addition, anti-malware software is not deployed on the endpoint.