Real-time Enhanced Voice Authentication

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: 140D6318C0064
Agency Tracking Number: D2-2071
Amount: $1,499,945.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: SB163-006
Solicitation Number: 2016.3
Timeline
Solicitation Year: 2016
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-06-07
Award End Date (Contract End Date): 2019-06-07
Small Business Information
400 SW 4th St. STE 110, Corvallis, OR, 97333
DUNS: 111494303
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr. Ewald Enzinger
 (503) 894-0731
 Ewald.Enzinger@Eduworks.com
Business Contact
 Andrew Arnold
Phone: (646) 526-6940
Email: andrew.arnold@eduworks.com
Research Institution
N/A
Abstract
Voice phishing ("vishing") is an increasingly serious threat that cost victims over $46 billion in 2016. Attackers pose as trusted callers using impersonation, voice mimicry, speech synthesis, voice conversion, Caller ID spoofing, and other techniques. Once victims trust the caller, the perpetrator can engage in fraudulent and criminal activities leading to financial losses and security breaches. The proposed research will result in a Real-time Enhanced Voice Authentication (REVA) system that detects many common forms of vishing, is available as a SaaS solution and mobile app, and serves to verify known callers in real-time. REVA builds on and extends techniques used in automated interactive voice response systems and audio forensics to detect signal alterations and to verify known speakers. REVA will monitor voice streams in real time and use a machine learning algorithm to continually estimate the likelihood that vishing is taking place, alerting users to dangers before they reveal sensitive information. This capability will be of great value to the security and defense communities, call centers, businesses, and consumers. The proposed architecture and machine learning approach give REVA the ability to learn to detect new types of attacks and to be updated as network characteristics and communication technologies evolve.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government