GEORGIA TECH RESEARCH CORPORATION (20240223697). SYSTEMS AND METHODS FOR DETECTING CALL PROVENANCE FROM CALL AUDIO simplified abstract

SYSTEMS AND METHODS FOR DETECTING CALL PROVENANCE FROM CALL AUDIO

Organization Name

GEORGIA TECH RESEARCH CORPORATION

Inventor(s)

Vijay Balasubramaniyan of Atlanta GA (US)

Mustaque Ahamad of Atlanta GA (US)

Patrick Traynor of Decatur GA (US)

Michael Thomas Hunter of Atlanta GA (US)

Aamir Poonawalla of Atlanta GA (US)

SYSTEMS AND METHODS FOR DETECTING CALL PROVENANCE FROM CALL AUDIO - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240223697 titled 'SYSTEMS AND METHODS FOR DETECTING CALL PROVENANCE FROM CALL AUDIO

The patent application describes a detection system and method for determining the origin of a call based on call audio.

• The system includes a characterization unit, a labeling unit, and an identification unit.
• The characterization unit extracts network characteristics from the call audio.
• The labeling unit identifies the codecs used to encode the call based on the audio.
• The identification unit uses network characteristics and identified codecs to create a call provenance fingerprint.

Potential Applications: - Call tracking and verification in telecommunications. - Forensic analysis of call sources for legal purposes.

Problems Solved: - Determining the true origin of a call. - Providing evidence for call authenticity.

Benefits: - Enhanced call security and verification. - Improved accuracy in identifying call sources.

Commercial Applications: Title: "Advanced Call Provenance Detection System for Telecommunications Industry" This technology can be used by telecom companies for call tracking, fraud detection, and legal compliance purposes. It can also be utilized by law enforcement agencies for forensic investigations.

Prior Art: Researchers in the field of telecommunications and audio analysis have developed various methods for call tracking and source identification. One notable prior art is the use of machine learning algorithms to analyze call audio for identification purposes.

Frequently Updated Research: Researchers are constantly working on improving the accuracy and efficiency of call provenance detection systems. Stay updated on the latest advancements in audio analysis and network characterization techniques for enhanced call tracking capabilities.

Questions about Call Provenance Detection: 1. How does this technology impact the security of telecommunications networks? This technology enhances the security of telecommunications networks by providing a reliable method for verifying the origin of calls. 2. What are the potential legal implications of using this system for call source identification? Using this system for call source identification can have significant legal implications, especially in cases where the authenticity of a call is crucial for legal proceedings.

Original Abstract Submitted

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.