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公开(公告)号：US20180152561A1
公开(公告)日：2018-05-31
申请号：US15880287
申请日：2018-01-25
Applicant: PINDROP SECURITY, INC.
Inventor： Scott STRONG , Kailash PATIL , David DEWEY , Raj BANDYOPADHYAY , Telvis CALHOUN , Vijay BALASUBRAMANIYAN
CPC classification number: H04M3/527 , G06F21/32 , G06F21/552 , G06N20/00 , H04M3/493 , H04M7/0078 , H04M15/41 , H04M2203/551 , H04M2203/6027 , H04W12/12
Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.
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公开(公告)号：US20170111515A1
公开(公告)日：2017-04-20
申请号：US15294576
申请日：2016-10-14
Applicant: PINDROP SECURITY, INC.
Inventor： Raj BANDYOPADHYAY , Kailash PATIL , David DEWEY , Scott STRONG , Telvis CALHOUN , Vijay BALASUBRAMANIYAN
CPC classification number: H04M3/527 , G06F21/32 , G06F21/552 , G06N99/005 , H04M3/493 , H04M7/0078 , H04M15/41 , H04M2203/551 , H04M2203/6027 , H04W12/12
Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.
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Patent Agency Ranking
公开(公告)号：US20190238956A1
公开(公告)日：2019-08-01
申请号：US16378286
申请日：2019-04-08
Applicant: PINDROP SECURITY, INC.
Inventor： Nick GAUBITCH , Scott STRONG , John CORNWELL , Hassan KINGRAVI , David DEWEY
CPC classification number: H04Q3/70 , G10L25/51 , H04L25/0202 , H04M3/2281 , H04M3/493 , H04M7/1295 , H04M2201/18 , H04M2203/60 , H04Q1/45 , H04Q2213/13139 , H04Q2213/13405 , H04Q2213/13515
Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.
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公开(公告)号：US20210152897A1
公开(公告)日：2021-05-20
申请号：US17157848
申请日：2021-01-25
Applicant: PINDROP SECURITY, INC.
Inventor： Nick GAUBITCH , Scott STRONG , John CORNWELL , Hassan KINGRAVI , David DEWEY
Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.
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公开(公告)号：US20190342452A1
公开(公告)日：2019-11-07
申请号：US16515823
申请日：2019-07-18
Applicant: PINDROP SECURITY, INC.
Inventor： Scott STRONG , Kailash PATIL , David DEWEY , Raj BANDYOPADHYAY , Telvis CALHOUN , Vijay BALASUBRAMANIYAN
Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.
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公开(公告)号：US20180041823A1
公开(公告)日：2018-02-08
申请号：US15600625
申请日：2017-05-19
Applicant: PINDROP SECURITY, INC.
Inventor： Nick GAUBITCH , Scott STRONG , John CORNWELL , Hassan KINGRAVI , David DEWEY
CPC classification number: H04Q3/70 , G10L25/51 , H04L25/0202 , H04M3/2281 , H04M3/493 , H04M7/1295 , H04M2201/18 , H04M2203/60 , H04Q1/45 , H04Q2213/13139 , H04Q2213/13405 , H04Q2213/13515
Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.
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公开(公告)号：US20170111506A1
公开(公告)日：2017-04-20
申请号：US15294538
申请日：2016-10-14
Applicant: PINDROP SECURITY, INC.
Inventor： Scott STRONG , Kailash PATIL , David DEWEY , Raj BANDYOPADHYAY , Telvis CALHOUN , Vijay BALASUBRAMANIYAN
CPC classification number: H04M3/527 , G06F21/32 , G06F21/552 , G06N99/005 , H04M3/493 , H04M7/0078 , H04M15/41 , H04M2203/551 , H04M2203/6027 , H04W12/12
Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.
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