Acoustic Identification Data Modulation for Secure Voice Calls
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for identifying users or devices in network security are prone to human error and social engineering attacks, especially in large institutions where verifying identities becomes increasingly difficult due to the availability of personal information online, and there is a need for a more robust and secure identification scheme that ensures authenticity of all participants in a call.
Innovation Solution
A system and method that uses a mobile communication device to initiate a call by first identifying the user and modulating identification data onto an audio channel, allowing secure transactions even without a data network connection, using techniques such as frequency or amplitude modulation to mix identification data with the audio stream, ensuring that both the user and device are authenticated before accessing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identification methods are used, then ease of operation is maintained, but reliability of identification is compromised due to human error and social engineering attacks
Solution Approach 1:
The patent replaces manual identification processes (human verification, password entry) with automated acoustic signal-based identification. The system modulates identification data onto audio frequencies transmitted during the call, enabling automatic verification without human intervention, thus improving reliability while maintaining ease of operation.
Solution Approach 2:
The patent introduces an intermediary acoustic signal carrying identification data that mediates between the calling device and the receiving system. This intermediary carries encoded identification information through the audio channel, enabling reliable automated identification without requiring direct human verification or complex data exchange protocols.
2Measurement precision
If data network connection is required for identification, then measurement precision of identification is improved, but availability of identification is reduced in areas with limited connectivity
Solution Approach 1:
The patent makes the identification system universal by enabling it to function through multiple channels - specifically through audio/voice channels that work without data network connectivity. The same acoustic modulation technique can operate over traditional voice calls, making the system adaptable to both connected and disconnected environments while maintaining identification accuracy.
Solution Approach 2:
The acoustic signal serves as an intermediary that can transmit identification data through the audio network infrastructure, which is more universally available than data networks. This intermediary enables identification to function reliably even when data connectivity is limited or unavailable, bridging the gap between identification accuracy and system availability.
3Productivity
If manual verification procedures are used, then device complexity is reduced, but loss of time in verification process increases
Solution Approach 1:
The patent replaces manual verification procedures with automated acoustic signal processing. The system automatically modulates, transmits, and decodes identification data through audio channels, eliminating the need for manual verification steps. This automation significantly increases verification speed while the complexity is managed through integrated software implementations in modern devices.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a robust and secure identification process that reduces the risk of unauthorized access, ensures authenticity of all participants, and allows secure transactions over voice channels, even in areas with limited data connectivity, by leveraging the processing power of modern communication devices and using various identification schemes like biometrics or pre-shared keys.
Implementation Method 1
using techniques such as frequency or amplitude modulation to mix identification data with the audio stream
Implementation Method 2
using techniques such as frequency or amplitude modulation to mix identification data with the audio stream
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
In an example, an audio stream such as a voice call or live-streaming service may have mixed therein a user identification, which may identify the user as an authorized participant in the audio stream. For example, a user may identify himself to a smart phone, and then initiate a call with his bank. The smart phone may mix a user identification into the voice stream. A receiving device at the bank may demix the identification, and determine that the user is authorized to call about this account. In another example, identification may be used for DRM purposes, to identify a user as a legitimate participant in an audio stream. When a user is not authorized, an appropriate action may be taken, such as dropping the user, degrading the quality of the audio stream, or providing a notification that the user is not authorized.