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公开(公告)号:US10715660B2
公开(公告)日:2020-07-14
申请号:US16595168
申请日:2019-10-07
Applicant: PINDROP SECURITY, INC.
Inventor: Payas Gupta , Terry Nelms, II
Abstract: In an illustrative embodiment, a user device may block all the phone numbers used by an enterprise. When an enterprise wants to call the user, the enterprise may notify the user device through a separate secure channel that an enterprise phone number is in the process of making a phone call to the user device. The secure channel may include an authentication server that may request the user device to unblock the enterprise phone number. An incoming phone call from the enterprise phone number therefore can be trusted. After the phone call is terminated, the user device may again block the enterprise phone number. An attacker may not have access to the authentication server and a phone call from the attacker with a spoofed enterprise phone number (now blocked) may be dropped by the user device.
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公开(公告)号:US10672403B2
公开(公告)日:2020-06-02
申请号:US15890967
申请日:2018-02-07
Applicant: PINDROP SECURITY, INC.
Inventor: Elie Khoury , Matthew Garland
IPC: G10L17/26 , G10L15/26 , H04L29/06 , G06K9/00 , G06F21/32 , G06K9/62 , G10L25/30 , G10L17/18 , G10L17/04
Abstract: A score indicating a likelihood that a first subject is the same as a second subject may be calibrated to compensate for aging of the first subject between samples of age-sensitive biometric characteristics. Age of the first subject obtained at a first sample time and age of the second subject obtained at a second sample time may be averaged, and an age approximation may be generated based on at least the age average and an interval between the first and second samples. The age approximation, the interval between the first and second sample times, and an obtained gender of the subject are used to calibrate the likelihood score.
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公开(公告)号:US20190392842A1
公开(公告)日:2019-12-26
申请号:US16536293
申请日:2019-08-08
Applicant: PINDROP SECURITY, INC.
Inventor: Elie KHOURY , Matthew GARLAND
Abstract: The present invention is directed to a deep neural network (DNN) having a triplet network architecture, which is suitable to perform speaker recognition. In particular, the DNN includes three feed-forward neural networks, which are trained according to a batch process utilizing a cohort set of negative training samples. After each batch of training samples is processed, the DNN may be trained according to a loss function, e.g., utilizing a cosine measure of similarity between respective samples, along with positive and negative margins, to provide a robust representation of voiceprints.
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公开(公告)号:US20190387096A1
公开(公告)日:2019-12-19
申请号:US16551327
申请日:2019-08-26
Applicant: PINDROP SECURITY, INC.
Inventor: Payas GUPTA
Abstract: A method of obtaining and automatically providing secure authentication information includes registering a client device over a data line, storing information and a changeable value for authentication in subsequent telephone-only transactions. In the subsequent transactions, a telephone call placed from the client device to an interactive voice response server is intercepted and modified to include dialing of a delay and at least a passcode, the passcode being based on the unique information and the changeable value, where the changeable value is updated for every call session. The interactive voice response server forwards the passcode and a client device identifier to an authentication function, which compares the received passcode to plural passcodes generated based on information and iterations of a value stored in correspondence with the client device identifier. Authentication is confirmed when a generated passcode matches the passcode from the client device.
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公开(公告)号:US10141009B2
公开(公告)日:2018-11-27
申请号:US15610378
申请日:2017-05-31
Applicant: PINDROP SECURITY, INC.
Inventor: Elie Khoury , Matthew Garland
Abstract: Methods, systems, and apparatuses for audio event detection, where the determination of a type of sound data is made at the cluster level rather than at the frame level. The techniques provided are thus more robust to the local behavior of features of an audio signal or audio recording. The audio event detection is performed by using Gaussian mixture models (GMMs) to classify each cluster or by extracting an i-vector from each cluster. Each cluster may be classified based on an i-vector classification using a support vector machine or probabilistic linear discriminant analysis. The audio event detection significantly reduces potential smoothing error and avoids any dependency on accurate window-size tuning. Segmentation may be performed using a generalized likelihood ratio and a Bayesian information criterion, and the segments may be clustered using hierarchical agglomerative clustering. Audio frames may be clustered using K-means and GMMs.
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公开(公告)号:US20180332172A1
公开(公告)日:2018-11-15
申请号:US16026498
申请日:2018-07-03
Applicant: PINDROP SECURITY, INC.
Inventor: Payas GUPTA , David DEWEY
CPC classification number: H04M3/543 , H04L63/00 , H04L63/126 , H04L63/1466 , H04L67/02 , H04M3/42059 , H04M3/436 , H04M3/54 , H04M2203/6027 , H04M2203/6045 , H04W4/16 , H04W4/50 , H04W12/06
Abstract: The invention may verify calls to a telephone device by activating call forwarding to redirect calls for the telephone device to a prescribed destination; receiving a message from a server verifying the call; deactivating call forwarding to receive the call; and reactivating call forwarding when the call is concluded. In another embodiment, the invention may, in response to a telephone device initiating a call to a second telephone device installed with a particular application or software, transmit a message to a server causing it to instruct the second telephone device to deactivate call forwarding. In yet another embodiment, the invention may cause a server to receive a message from a prescribed location indicating that a call was received via call forwarding, and in response to the message, transmit an instruction to the intended recipient to deactivate the call forwarding if the call is verified as legitimate.
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公开(公告)号:US20180205822A1
公开(公告)日:2018-07-19
申请号:US15872639
申请日:2018-01-16
Applicant: PINDROP SECURITY, INC.
Inventor: Payas GUPTA
CPC classification number: H04M3/382 , H04L63/0838 , H04L63/18 , H04M3/42008 , H04M3/493 , H04M3/5166 , H04M2203/6072 , H04M2203/6081
Abstract: A method of obtaining and automatically providing secure authentication information includes registering a client device over a data line, storing information and a changeable value for authentication in subsequent telephone-only transactions. In the subsequent transactions, a telephone call placed from the client device to an interactive voice response server is intercepted and modified to include dialing of a delay and at least a passcode, the passcode being based on the unique information and the changeable value, where the changeable value is updated for every call session. The interactive voice response server forwards the passcode and a client device identifier to an authentication function, which compares the received passcode to plural passcodes generated based on information and iterations of a value stored in correspondence with the client device identifier. Authentication is confirmed when a generated passcode matches the passcode from the client device.
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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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公开(公告)号:US20250039295A1
公开(公告)日:2025-01-30
申请号:US18913429
申请日:2024-10-11
Applicant: Pindrop Security, Inc.
Inventor: MohammedAli MERCHANT , Matthew WILLIAMS , Tim PRUGAR
Abstract: According to an embodiment of the disclosure, a toll-free telecommunications validation system determines a confidence value that an incoming phone call to an enterprises' toll-free number is originating from the station it purports to be by incorporating one or more layers of signals and data in determining said confidence value. The data and signals can include one or more call identifiers and/or toll-free call routing logs, service control point (SCP) signals and data, service data point (SDP) signals and data, dialed number information service (DNIS) signals and data, session initiation protocol (SIP) signals and data, carrier identification code (CIC) signals and data, location routing number (LRN) signals and data, jurisdiction information parameter (JIP) signals and data, charge number (CN) signals and data, billing number (BN) signals and data, and originating carrier information (such as information derived from the ANI).
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