Virtual Meeting Security via API and ML Monitoring

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Solution Overview

Problem

Virtual meetings lack the security of in-person meetings due to uncontrolled environments and unrestricted access, making them vulnerable to unauthorized surveillance and data duplication.

Innovation Solution

A system that secures virtual meetings by using an API to restrict non-compliant applications, monitors physical environments for surveillance devices, and employs machine learning to detect and prevent unauthorized data duplication and recording during the meeting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If virtual meetings are conducted from any location with internet connection, then accessibility and convenience are improved, but security control and access restriction deteriorate

Engineering Contradiction:
ImproveaccessibilityVSAvoidsecurity control
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

A security system acts as an intermediary between meeting participants and the virtual meeting environment. The system monitors physical environments for surveillance devices, controls application access through APIs, and enforces security policies without preventing participants from joining from various locations. This intermediary layer maintains security control while preserving accessibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If security monitoring and restrictions are implemented in virtual meetings, then security level is improved, but system complexity and operational overhead increase

Engineering Contradiction:
Improvesecurity levelVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The security system operates autonomously by automatically monitoring physical environments for surveillance devices, detecting unauthorized applications through API integration, and enforcing security policies without requiring manual intervention. The system self-manages the complexity of security operations while providing a simplified interface to users.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs security checks and environment monitoring before virtual meetings begin, establishing security controls in advance. Physical environments are scanned for surveillance devices, and application restrictions are configured beforehand, reducing the complexity burden during actual meeting operations.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If applications are restricted via API to ensure security compliance, then security policy enforcement is improved, but application functionality and user flexibility deteriorate

Engineering Contradiction:
Improvesecurity policy enforcementVSAvoidapplication functionality
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The application restriction system dynamically adjusts security controls based on meeting context and participant needs. Rather than imposing static restrictions, the system adapts security policies in real-time, allowing compliant applications to function fully while blocking only those that violate security requirements. This dynamic approach maintains both security enforcement and application versatility.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11811827B2Securing endpoints for virtual meetings
Publication Date: 2023.11.07 ORACLE INT CORP
  • US11811827B2 patent drawing
  • US11811827B2 patent drawing
  • US11811827B2 patent drawing

AI summary

Techniques are disclosed for establishing a level of security for a virtual meeting similar to a level of security associated with in person meetings. A communication system may use an application programming interface (API) of an operating system to secure the device by terminating any applications or processes operating on the computing device that are not consistent with a security policy. The system may also use machine learning techniques to monitor audio and/or video streams for participant behaviors that are not consistent with a security policy.