公开(公告)号：US20190020482A1

公开(公告)日：2019-01-17

申请号：US16035301

申请日：2018-07-13

Applicant: PINDROP SECURITY, INC.

Inventor： Payas GUPTA ,  Terry NELMS

IPC: H04L9/32 ,  G10L17/22 ,  G10L17/06 ,  H04L9/30 ,  H04L9/08

Abstract: Disclosed herein are embodiments of systems and methods for zero-knowledge multiparty secure sharing of voiceprints. In an embodiment, an illustrative computer may receive, through a remote server, a plurality of encrypted voiceprints. When the computer receives an incoming call, the computer may generate a plaintext i-vector of the incoming call. Using the plaintext i-vector and the encrypted voiceprints, the computer may generate one or more encrypted comparison models. The remote server may decrypt the encrypted comparison model to generate similarity scores between the plaintext i-vector and the plurality of encrypted voiceprints.

公开(公告)号：US10142463B2

公开(公告)日：2018-11-27

申请号：US15666917

申请日：2017-08-02

Applicant: PINDROP SECURITY, INC.

Inventor： Lance Douglas

IPC: H04M15/00 ,  H04M17/00 ,  H04M3/22 ,  H04M3/436 ,  H04M7/00 ,  H04L29/06

Abstract: Aspects of the invention determining a threat score of a call traversing a telecommunications network by leveraging the signaling used to originate, propagate and terminate the call. Outer-edge data utilized to originate the call may be analyzed against historical, or third party real-time data to determine the propensity of calls originating from those facilities to be categorized as a threat. Storing the outer edge data before the call is sent over the communications network permits such data to be preserved and not subjected to manipulations during traversal of the communications network. This allows identification of threat attempts based on the outer edge data from origination facilities, thereby allowing isolation of a compromised network facility that may or may not be known to be compromised by its respective network owner. Other aspects utilize inner edge data from an intermediate node of the communications network which may be analyzed against other inner edge data from other intermediate nodes and/or outer edge data.

公开(公告)号：US20180226079A1

公开(公告)日：2018-08-09

申请号：US15890967

申请日：2018-02-07

Applicant: PINDROP SECURITY, INC.

Inventor： Elie KHOURY ,  Matthew GARLAND

IPC: G10L17/26 ,  G10L15/26 ,  G06K9/00 ,  H04L29/06

CPC classification number: G10L17/26 ,  G06F21/32 ,  G06K9/00221 ,  G06K9/00885 ,  G06K9/00926 ,  G06K9/6267 ,  G06K2009/00322 ,  G10L15/265 ,  G10L17/04 ,  G10L17/18 ,  G10L25/30 ,  H04L63/0861

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.

公开(公告)号：US09930186B2

公开(公告)日：2018-03-27

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

IPC: H04M3/527 ,  H04M15/00 ,  G06N99/00 ,  H04M7/00 ,  H04W12/12

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.

公开(公告)号：US20180082689A1

公开(公告)日：2018-03-22

申请号：US15709290

申请日：2017-09-19

Applicant: PINDROP SECURITY, INC.

Inventor： Elie KHOURY ,  Matthew GARLAND

IPC: G10L17/00 ,  G10L17/04 ,  G10L15/07 ,  G10L15/26 ,  G06N7/00

CPC classification number: G10L17/005 ,  G06N7/005 ,  G10L15/07 ,  G10L15/19 ,  G10L15/26 ,  G10L17/04 ,  G10L17/08 ,  G10L17/24 ,  H04M1/271 ,  H04M2203/40

Abstract: Utterances of at least two speakers in a speech signal may be distinguished and the associated speaker identified by use of diarization together with automatic speech recognition of identifying words and phrases commonly in the speech signal. The diarization process clusters turns of the conversation while recognized special form phrases and entity names identify the speakers. A trained probabilistic model deduces which entity name(s) correspond to the clusters.