Telvis Calhoun
Georgia State University
5 Papers
88 Citations
Telvis Calhoun is an academic researcher from Georgia State University. The author has contributed to research in topics: Feature (computer vision) & Feature vector. The author has an hindex of 4, co-authored 5 publications.
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Papers
An 802.11 MAC layer covert channel
Telvis Calhoun,Xiaojun Cao,Yingshu Li,Raheem Beyah +3 more
- 01 Apr 2012
TL;DR: The covert channel provides a general method to hide communications within currently deployed 802.11 MAC rate switching protocol using a one-time password (OTP) algorithm to ensure high-entropy randomness of the covert messages.
36
Patent
Fraud detection in interactive voice response systems
Scott Strong,Kailash Patil,David Dewey,Raj Bandyopadhyay,Telvis Calhoun,Vijay Balasubramaniyan +5 more
- 14 Oct 2016
TL;DR: In this article, the authors use 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.
22
Authentication in 802.11 LANs Using a Covert Side Channel
Telvis Calhoun,Reed Newman,Raheem Beyah +2 more
- 14 Jun 2009
TL;DR: A covert side channel technique that uses the 802.11 MAC rate switching protocol as cover for covert authentication messages that can authenticate with 100% accuracy with minimal impact on rate switching entropy is presented.
18
Patent
Call detail record analysis to identify fraudulent activity
Raj Bandyopadhyay,Kailash Patil,David Dewey,Scott Strong,Telvis Calhoun,Vijay Balasubramaniyan +5 more
- 14 Oct 2016
TL;DR: In this article, the authors use 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.
12
Patent
Call detail record analysis to identify fraudulent activity and fraud detection in interactive voice response systems
Raj Bandyopadhyay,Telvis Calhoun,Vijay Balasubramaniyan,Scott Strong,Kailash Patil,David Dewey +5 more
- 14 Oct 2016
TL;DR: In this article, a call detail record (CDR) analysis is performed to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems.
3