SBIR/STTR Research Award

SBIR Phase I: A Robust Caller-ID Alternative for Securing Telephony Based Transactions

Award identifier 6f6838925d55cd76df06be9b332eca1641f95174e48b6e5ce0ac7b743d2aa893Awarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2011

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Telineage, Inc.
Proposal award date
2011-07-01
Contract end date
2012-06-30
UEI
Not reported
Solicitation number
Not reported
Topic code
IC

Research abstract

This Small Business Innovation Research (SBIR) Phase I research project will explore technologies that will enable an improvement in trust in the converged telephony infrastructure without negatively impacting user experience. Telephony has long been viewed as a trusted communications medium and a variety of transactions conducted over the telephone depend on such trust. For example, to combat credit card and other financial fraud, banks rely on their ability to securely communicate with their customers via the phone. Unfortunately, while the convergence of traditional telephony with cellular and IP networks offers many benefits, it has opened it to additional security threats. Call metadata such as caller identifier can now be easily manipulated and attacks including voice phishing have already resulted in financial losses for banks. The intellectual merit of this research project lies in demonstrating that the source and intermediary networks in a phone call introduce artifacts in the audio that can be used to uniquely identify its source. The project will investigate features that capture key call artifacts and apply machine learning techniques to fingerprint call sources. A key goal will be the validation of the preliminary results at the scale that will arise in real-world deployments. The broader impact of the project will come from the development of a secure Caller-ID alternative with applicability both in the enterprise setting as well as at the consumer end. Because the proposed approach only relies on analysis of audio at the receiving end, it requires no changes to be made to the telephony infrastructure. This is especially advantageous not only because of the complex and diverse nature of this infrastructure, but also because unlike a cryptographic solution both ends of a call do not need to participate in the process. The ubiquitous nature of the telephone and possible erosion of trust in this medium will have serious consequences for both businesses and citizens. The success of this project will help maintain this trust and thus it will have broad commercial and societal impact.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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