Media Stream Manipulation Alerts for Communication Session Authenticity
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Solution Overview
Problem
Existing communication platforms lack the capability to actively monitor and warn participants of media stream manipulations, making it difficult for users to distinguish between real and manipulated identities, particularly with the rise of deep-fake technologies.
Innovation Solution
Implement a software platform that generates biometric markers from media streams, identifies potential inauthenticity based on user profiles and communication histories, and notifies participants of suspected manipulations, allowing for approval or disapproval of such manipulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing communication platforms are used, then communication sessions can be conducted, but the platforms lack the capability to actively monitor and warn participants of media stream manipulations
Solution Approach 1:
The patent introduces a communication software intermediary that operates between participants and media streams. This software monitors media streams for manipulations, generates notifications about detected manipulations, and enables participant control over manipulations. The intermediary adds authentication and monitoring capabilities without requiring fundamental changes to the communication platform infrastructure.
2Adaptability or versatility
If deep-fake technologies are used, then media stream manipulation becomes possible, but participants cannot distinguish between real and manipulated identities
Solution Approach 1:
The patent implements a feedback mechanism where the communication software continuously monitors media streams and provides real-time notifications to participants about detected manipulations. When a manipulation is detected, the system generates a notification that is transmitted to participants, enabling them to respond appropriately. This feedback loop allows participants to distinguish between authentic and manipulated media streams.
Solution Approach 2:
The communication software performs preliminary analysis of media streams to detect manipulations before they fully impact communication. By proactively monitoring and identifying manipulations in advance, the system can warn participants before deception occurs, allowing them to take preventive actions or verify identities.
3Reliability
If manipulation monitoring is implemented, then participant security is enhanced, but system complexity increases
Solution Approach 1:
The communication software provides self-service capabilities for manipulation detection and notification. The system automatically monitors media streams, detects manipulations, generates notifications, and manages participant responses without requiring external intervention or complex infrastructure. This self-service approach enhances security while keeping the system relatively simple to deploy and operate.
Data Source
AI summary
A manipulation of a media stream associated with a manipulated participant of a communication session is identified. A notification of the manipulation is transmitted to a first participant of the communication session. An approval indication of the manipulation is received from the first participant. A determination is made that the approval indication indicates a disapproval of the manipulation. A request to disable the manipulation is transmitted to a second participant of the communication session.