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1.发明申请公开(公告)号：US20210266292A1
公开(公告)日：2021-08-26
申请号：US16791135
申请日：2020-02-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Swapna Buccapatnam Tirumala , Fei Wu , Carolyn Roche Johnson
Abstract: Domains and IPs are scored using domain resolution data to identify malicious domains and IPs. A domain and IP resolution graph for a set of domains and IPs in a system. A seed set of known malicious domains and known malicious IPs is selected from a malicious domain and malicious IP database. A graphical probabilistic propagation inference from the domain and IP resolution graph and the seed set of known malicious domains and known malicious IPs is generated. A malicious score is calculated for each domain in the set of domains and each IP in the set of IPs, and the malicious domain and malicious IP database is updated.
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公开(公告)号：US11677643B2
公开(公告)日：2023-06-13
申请号：US17102093
申请日：2020-11-23
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Carolyn Roche Johnson , Swapna Buccapatnam Tirumala , Fei Wu , Kartik Pandit , Kathleen Meier-Hellstern , Brian Freeman , Richard Koch , Tuan Duong , Mark Lyn , Steven Monetti
IPC: H04L43/024 , H04L43/026 , H04L47/2441 , H04L43/0894 , H04L43/062
CPC classification number: H04L43/024 , H04L43/026 , H04L43/062 , H04L43/0894 , H04L47/2441
Abstract: A processing system may obtain a first sampled flow record for a first flow in a network, comprising information regarding selected packets of the first flow, derive, from the first sampled flow record, a data volume and a duration of the first flow, and determine a first flow metric for the first flow that is calculated from the data volume and the duration, where the first flow metric is one of a plurality of flow metrics for a plurality of flows, and where the plurality of flow metrics is determined from the plurality of sampled flow records associated with the plurality of flows. The processing system may then classify the first flow into one of at least two classes, based upon the first flow metric and at least a first flow metric threshold.
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Patent Agency Ranking
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
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.
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4.发明授权公开(公告)号：US11533293B2
公开(公告)日：2022-12-20
申请号：US16791135
申请日：2020-02-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Swapna Buccapatnam Tirumala , Fei Wu , Carolyn Roche Johnson
Abstract: Domains and IPs are scored using domain resolution data to identify malicious domains and IPs. A domain and IP resolution graph for a set of domains and IPs in a system. A seed set of known malicious domains and known malicious IPs is selected from a malicious domain and malicious IP database. A graphical probabilistic propagation inference from the domain and IP resolution graph and the seed set of known malicious domains and known malicious IPs is generated. A malicious score is calculated for each domain in the set of domains and each IP in the set of IPs, and the malicious domain and malicious IP database is updated.
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公开(公告)号：US20220166691A1
公开(公告)日：2022-05-26
申请号：US17102093
申请日：2020-11-23
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Carolyn Roche Johnson , Swapna Buccapatnam Tirumala , Fei Wu , Kartik Pandit , Kathleen Meier-Hellstern , Brian Freeman , Richard Koch , Tuan Duong , Mark Lyn , Steven Monetti
IPC: H04L12/26 , H04L12/851
Abstract: A processing system may obtain a first sampled flow record for a first flow in a network, comprising information regarding selected packets of the first flow, derive, from the first sampled flow record, a data volume and a duration of the first flow, and determine a first flow metric for the first flow that is calculated from the data volume and the duration, where the first flow metric is one of a plurality of flow metrics for a plurality of flows, and where the plurality of flow metrics is determined from the plurality of sampled flow records associated with the plurality of flows. The processing system may then classify the first flow into one of at least two classes, based upon the first flow metric and at least a first flow metric threshold.
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6.发明申请公开(公告)号：US20230076391A1
公开(公告)日：2023-03-09
申请号：US17979867
申请日：2022-11-03
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Swapna Buccapatnam Tirumala , Fei Wu , Carolyn Roche Johnson
Abstract: Domains and IPs are scored using domain resolution data to identify malicious domains and IPs. A domain and IP resolution graph for a set of domains and IPs in a system. A seed set of known malicious domains and known malicious IPs is selected from a malicious domain and malicious IP database. A graphical probabilistic propagation inference from the domain and IP resolution graph and the seed set of known malicious domains and known malicious IPs is generated. A malicious score is calculated for each domain in the set of domains and each IP in the set of IPs, and the malicious domain and malicious IP database is updated.
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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
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.
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