公开(公告)号：US20180329735A1

公开(公告)日：2018-11-15

申请号：US15594106

申请日：2017-05-12

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Danielle Liu ,  Eric Noel

IPC: G06F9/455 ,  G06F9/50

CPC classification number: G06F9/45558 ,  G06F9/5077 ,  G06F2009/45562 ,  G06F2009/4557 ,  G06F2009/45579 ,  G06F2009/45595

Abstract: A system and method for managing virtual machines in a network. A plurality of virtual machine (VM) requests are received. At least one resource requirement associated with the requests is selected. The plurality of VM requests are grouped into a plurality of request groupings based on a measurement of the at least one resource requirement. The plurality of VM requests are assigned to at least one server through utilization of the request groupings.

公开(公告)号：US20130227045A1

公开(公告)日：2013-08-29

申请号：US13857269

申请日：2013-04-05

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Willa Kay Ehrlich ,  David A. Hoeflin ,  Danielle Liu ,  Chaim Spielman ,  Stephen Wood

IPC: H04L12/58

CPC classification number: H04L51/00 ,  H04L63/1441

Abstract: A method and system for determining whether an IP address is part of a bot-network are provided. The IP-address-aggregate associated with the IP address of an e-mail sender is determined. The IP-address-aggregate is associated with an IP-address-aggregate-category based on the current SMTP traffic characteristics of the IP-address-aggregate and the known SMTP traffic characteristics of an IP-address-aggregate-category. A bot-likelihood score of the IP-address-aggregate-category is then associated with IP-address-aggregate. IP-address-aggregate-categories can be established based on historical SMTP traffic characteristics of the IP-address-aggregates. The IP-address-aggregates are grouped based on SMTP characteristics, and the IP-address-aggregate-categories are defined based on a selection of IP-address-aggregates with similar SMTP traffic characteristics that are diagnostic of spam bots vs. non-botnet-controllers spammers. Bot likelihood scores are determined for the resulting IP-address-aggregate-categories based on historically known bot IP addresses.

Abstract translation: 提供一种用于确定IP地址是机器人网络的一部分的方法和系统。 确定与电子邮件发件人的IP地址相关联的IP地址聚合。 基于IP地址聚合的当前SMTP流量特性和IP地址聚合类别的已知SMTP流量特性，IP地址聚合与IP地址聚合类别相关联。 然后将IP地址聚合类别的机率分数与IP地址聚合相关联。 可以基于IP地址聚合的历史SMTP流量特性来建立IP地址聚合类别。 基于SMTP特性对IP地址聚合进行分组，IP地址聚合类别是根据具有类似SMTP流量特性的IP地址聚合的选择来定义的，这些特征是对垃圾邮件机器人与非僵尸网络的诊断 控制垃圾邮件发送者。 基于历史上已知的机器人IP地址，为生成的IP地址聚合类别确定Bot似然分数。

公开(公告)号：US11082862B1

公开(公告)日：2021-08-03

申请号：US16842071

申请日：2020-04-07

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Gaurav Thakur ,  Danielle Liu ,  Arun Jotshi ,  Ashwin Sridharan ,  Kathleen Meier-Hellstern

IPC: H04W16/18 ,  G06K9/00 ,  G06T7/30 ,  H04W24/08

Abstract: A device includes a processor and a memory. The processor effectuates operations including generating a plurality of tiles for a designated region and classifying each of the plurality of tiles based on whether each tile is associated with a deployment zone. The operations further including clustering locations associated with one or more tiles of the plurality of tiles, wherein the one or more tiles are classified as being associated with the deployment zone, wherein the clustering generates at least one vertex. The operations further including forming a polygon based on the at least one vertex. The operations further including providing a map of the designated region including the polygon at a location in the map associated with the deployment zone, wherein the deployment zone is one or more areas of service within the designated region that are prioritized for new or additional services, or infrastructure based on design criteria.

公开(公告)号：US10959109B1

公开(公告)日：2021-03-23

申请号：US16802867

申请日：2020-02-27

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Danielle Liu ,  Arun Jotshi ,  Gaurav Thakur ,  Velin Kounev ,  Fei Wu ,  Yaron Kanza ,  Divith Aruni Babu

IPC: H04W16/18 ,  G06N3/04 ,  G06N3/08 ,  G06K9/00 ,  H04W64/00

Abstract: Concepts and technologies are disclosed herein for creating and using network coverage models. A request for a predicted coverage model that represents a first signal propagation in a first portion of a network that covers a first area associated with a first geographic location can be received. An aerial image that depicts the first area can be obtained. The aerial image can be provided to an existing coverage model. The existing coverage model can include a neural network, and the existing coverage model can be based on a second signal propagation in a second portion of the network that covers a second area associated with a second location. The predicted coverage model for the first area can be obtained from the existing coverage model.

公开(公告)号：US09055012B2

公开(公告)日：2015-06-09

申请号：US13857269

申请日：2013-04-05

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Willa Kay Ehrlich ,  David A. Hoeflin ,  Danielle Liu ,  Chaim Spielman ,  Stephen Wood

IPC: H04L29/06 ,  H04L12/58 ,  G06F11/00 ,  G06F12/14 ,  G06F12/16 ,  G08B23/00

CPC classification number: H04L51/00 ,  H04L63/1441

Abstract: A method and system for determining whether an IP address is part of a bot-network are provided. The IP-address-aggregate associated with the IP address of an e-mail sender is determined. The IP-address-aggregate is associated with an IP-address-aggregate-category based on the current SMTP traffic characteristics of the IP-address-aggregate and the known SMTP traffic characteristics of an IP-address-aggregate-category. A bot-likelihood score of the IP-address-aggregate-category is then associated with IP-address-aggregate. IP-address-aggregate-categories can be established based on historical SMTP traffic characteristics of the IP-address-aggregates. The IP-address-aggregates are grouped based on SMTP characteristics, and the IP-address-aggregate-categories are defined based on a selection of IP-address-aggregates with similar SMTP traffic characteristics that are diagnostic of spam bots vs. non-botnet-controllers spammers. Bot likelihood scores are determined for the resulting IP-address-aggregate-categories based on historically known bot IP addresses.

Abstract translation: 提供一种用于确定IP地址是机器人网络的一部分的方法和系统。 确定与电子邮件发件人的IP地址相关联的IP地址聚合。 基于IP地址聚合的当前SMTP流量特性和IP地址聚合类别的已知SMTP流量特性，IP地址聚合与IP地址聚合类别相关联。 然后将IP地址聚合类别的机率分数与IP地址聚合相关联。 可以基于IP地址聚合的历史SMTP流量特性来建立IP地址聚合类别。 基于SMTP特性对IP地址聚合进行分组，IP地址聚合类别是根据具有类似SMTP流量特性的IP地址聚合的选择来定义的，这些特征是对垃圾邮件机器人与非僵尸网络的诊断 控制垃圾邮件发送者。 基于历史上已知的机器人IP地址，为生成的IP地址聚合类别确定Bot似然分数。

公开(公告)号：US20210274356A1

公开(公告)日：2021-09-02

申请号：US17194542

申请日：2021-03-08

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Danielle Liu ,  Arun Jotshi ,  Gaurav Thakur ,  Velin Kounev ,  Fei Wu ,  Yaron Kanza ,  Divith Aruni Babu

IPC: H04W16/18 ,  G06N3/08 ,  H04W64/00 ,  G06K9/00 ,  G06N3/04

Abstract: Concepts and technologies are disclosed herein for creating and using network coverage models. A request for a predicted coverage model that represents a first signal propagation in a first portion of a network that covers a first area associated with a first geographic location can be received. An aerial image that depicts the first area can be obtained. The aerial image can be provided to an existing coverage model. The existing coverage model can include a neural network, and the existing coverage model can be based on a second signal propagation in a second portion of the network that covers a second area associated with a second location. The predicted coverage model for the first area can be obtained from the existing coverage model.