Patents by Inventor Vijay Balasubramaniyan

Vijay Balasubramaniyan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10362172
    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.
    Type: Grant
    Filed: January 25, 2018
    Date of Patent: July 23, 2019
    Assignee: Pindrop Security, Inc.
    Inventors: Scott Strong, Kailash Patil, David Dewey, Raj Bandyopadhyay, Telvis Calhoun, Vijay Balasubramaniyan
  • Publication number: 20180152561
    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.
    Type: Application
    Filed: January 25, 2018
    Publication date: May 31, 2018
    Applicant: PINDROP SECURITY, INC.
    Inventors: Scott STRONG, Kailash PATIL, David DEWEY, Raj BANDYOPADHYAY, Telvis CALHOUN, Vijay BALASUBRAMANIYAN
  • Patent number: 9930186
    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.
    Type: Grant
    Filed: October 14, 2016
    Date of Patent: March 27, 2018
    Assignee: PINDROP SECURITY, INC.
    Inventors: Raj Bandyopadhyay, Kailash Patil, David Dewey, Scott Strong, Telvis Calhoun, Vijay Balasubramaniyan
  • Patent number: 9883040
    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.
    Type: Grant
    Filed: October 14, 2016
    Date of Patent: January 30, 2018
    Assignee: PINDROP SECURITY, INC.
    Inventors: Scott Strong, Kailash Patil, David Dewey, Raj Bandyopadhyay, Telvis Calhoun, Vijay Balasubramaniyan
  • Publication number: 20170126884
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: November 9, 2016
    Publication date: May 4, 2017
    Applicant: Georgia Tech Research Corporation
    Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
  • Publication number: 20170111506
    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.
    Type: Application
    Filed: October 14, 2016
    Publication date: April 20, 2017
    Applicant: PINDROP SECURITY, INC.
    Inventors: Scott STRONG, Kailash PATIL, David DEWEY, Raj BANDYOPADHYAY, Telvis CALHOUN, Vijay BALASUBRAMANIYAN
  • Publication number: 20170111515
    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.
    Type: Application
    Filed: October 14, 2016
    Publication date: April 20, 2017
    Applicant: PINDROP SECURITY, INC.
    Inventors: Raj BANDYOPADHYAY, Kailash PATIL, David DEWEY, Scott STRONG, Telvis CALHOUN, Vijay BALASUBRAMANIYAN
  • Patent number: 9516497
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Grant
    Filed: May 18, 2015
    Date of Patent: December 6, 2016
    Assignee: GEORGIA TECH RESEARCH CORPORATION
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20150257001
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: May 18, 2015
    Publication date: September 10, 2015
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Patent number: 9037113
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Grant
    Filed: June 29, 2011
    Date of Patent: May 19, 2015
    Assignee: Georgia Tech Research Corporation
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20130109358
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: June 29, 2011
    Publication date: May 2, 2013
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20080256256
    Abstract: Systems and methods are provided for maximizing call throughput in a server network by optimizing the balance of stateful to stateless handling or transactions at each server within the network. The identification of transaction messages to be handled statelessly or statefully is made at each proxy server within the network in order to maximize the total throughput at that proxy server within prescribed processor utilization limits. In general, each transaction is handled statefully by at least one server within the network. Reports on the stateful handling of messages and the resource consumption at various proxies are communicated throughout the network to be used in identifying the ratio of messages to be forwarded statefully to messages to be forwarded statelessly at any given proxy.
    Type: Application
    Filed: April 10, 2007
    Publication date: October 16, 2008
    Applicant: International Business Machines Corporation
    Inventors: Arup Acharya, Vijay A. Balasubramaniyan, Mustaque Ahamad