SBIR-STTR Award

Dynamic Passphrase Voice Security System
Profile last edited on: 4/25/2019

Program
STTR
Agency
NSF
Total Award Amount
$649,917
Award Phase
2
Principal Investigator
Valene Skerpac
Activity Indicator

Company Information

iBiometrics Inc (AKA:iBICS)

PO Box 644
Millwood, NY 10546
   (914) 762-0291
   corporate@ibiometrics.net
   www.ibics.com
Multiple Locations:   
Congressional District:   17
County:   Westchester

Phase I

Phase I year
2007
Phase I Amount
$149,961
This Small Business Technology Transfer (STTR) Phase I research project proposes to develop a novel voice authentication security access system which uniquely combines speech verification with speaker verification in a dual fashion. As a basis for authentication, the proposed system generates a one-time pass-phrase which users are challenged to respond to immediately. The dual verification engine verifies that the response is the required pass-phrase and belongs to the claimed user. The proposed system addresses the vulnerabilities of previous voice authentication systems associated with 'ear shot' surfing, eavesdropping, guessing, and replaying attacks. The proposal offers a solution for emerging identity theft threats where personal or stored secret information cannot be said aloud. The proposal further addresses traditional password system limitations associated with ineffective passwords and password management. The research objective of this project is to investigate the feasibility of the technical approach and commercial potential. The research consists of the design and development of a prototype representative of the dual verification random pass-phrase proposed system. The research includes the measurement and analysis of engine accuracy, pass-phrase effectiveness and overall security. It is anticipated that important security improvements will be demonstrated for voice applications sensitive to eavesdropping and playback thereby expanding the overall potential for voice authentication. The impacts of the proposed activity include secure authentication through speech via the widely growing number of speech recognition applications, voice channels and converged platforms. As more individuals use their voice on a variety of devices and networks such as VoIP or cellular, real-time, speech applications will benefit from the proposed method. The proposed speech security method may also be the choice for those with visual or other applicable handicaps. Society is concerned with the continuous rise of security breaches and related identity theft. The system offers an important option to this problem with the possibility of positively impacting individuals and organizations that lose millions of dollars to fraud annually. The combination of security and authentication technologies in new and unique ways enhances our understanding of how a dynamic biometric, such as speaker verification, can be used to advance the technology as never before demonstrated. The proposal emphasizes the collaboration of industry and university and broadens the participation of underrepresented groups through a woman owned and operated business. The proposal facilitates the integration of research and education with the involvement of university faculty, researchers, and graduate students

Phase II

Phase II year
2008 (last award dollars: 2008)
Phase II Amount
$499,956
This Small Business Technology Transfer (STTR) Phase II project focuses on the research and development of a novel voice authentication security system which combines speech verification with speaker verification. As a basis for authentication, the proposed system generates a one-time pass-phrase which users are challenged to respond to immediately. Following the challenge, the dual verification engine verifies that the response is the required pass-phrase and that it is associated with the person articulating the pass-phrase. The proposed system addresses the vulnerabilities of previous voice authentication systems associated with 'ear shot' surfing, eavesdropping and theft. The proposal offers a solution for identity theft threats where personal information cannot be said aloud and further addresses password systems limitations. The proposed project will develop and construct a system which expands the voice capabilities to include a wider selection of users, channels and types of speech. The system will expand pass-phrase generation to support large customers and its passphrase 'topic selection' privacy feature. Additionally, the system will automatically enroll users over multiple calls overcoming previous limitations due to inadequate speech across channels. The outcomes of the proposed project include secure authentication through speech via the widely growing number of speech recognition applications, voice channels and converged platforms. As more individuals use their voice on a variety of devices and networks such as VoIP or cellular, real-time, speech applications will benefit from the proposed method. The proposed speech security system method may also be the choice for those with visual or other applicable handicaps. Because of the continuous rise of security breaches and related identity theft, the outcomes of this project should significantly impact society by providing a robust security option for speech-enabled user interfaces