Security System Isolating Threats in Diversion Environments

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

The increasing reliance on devices and data in everyday life exposes users to various security threats, including unauthorized access, data breaches, and malware, which existing technologies struggle to effectively mitigate, especially in connected environments like IoT and 5G networks.

Innovation Solution

A security system that utilizes biometric authentication, diversion environments, and AI-powered threat detection and analysis to protect devices and data by attracting and isolating threats, continuously monitoring for known and emerging threats, and providing real-time protection through encryption, anomaly detection, and data anonymization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If devices store sensitive information and connect to networks for everyday use, then convenience and functionality are improved, but security risks and vulnerability to threats increase

Engineering Contradiction:
ImproveconvenienceVSAvoidsecurity risks
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a security system as an intermediary layer between users/devices and threats. This security system includes components that intercept, analyze, and neutralize threats before they can reach target devices, thereby maintaining convenience while reducing security risks through active mediation and protection.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If existing security technologies are used to protect devices, then some protection is provided, but they struggle to effectively mitigate emerging threats in connected environments

Engineering Contradiction:
Improveprotection effectivenessVSAvoidthreat mitigation capability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements a dynamic security system that continuously adapts to emerging threats through real-time analysis and learning. The system evolves its protection mechanisms based on newly identified threat patterns, ensuring both reliable protection and adaptability to changing security landscapes in connected environments.

Inventive Principle:
Principle #15Dynamics

3Reliability

If biometric authentication is implemented, then access security is improved, but authentication requirements may slow down user access

Engineering Contradiction:
Improveaccess securityVSAvoidauthentication time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements preliminary biometric authentication during device setup or initial access, establishing security credentials in advance. This allows for faster subsequent access while maintaining strong security, as the preliminary authentication creates a foundation for efficient ongoing access control without repeated delays.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20240364686A1Systems and methods for securing devices in a computing environment
Publication Date: 2024.10.31 LOURDE WRIGHT HLDG LLC
  • US20240364686A1 patent drawing
  • US20240364686A1 patent drawing
  • US20240364686A1 patent drawing

AI summary

Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. Efforts for spying, attacks from spyware, phishing, and vishing, among other threats, are used by bad actors to attack devices and data. The security systems and methods protect devices and/or data, and any associated devices and/or data, such as by anonymizing client devices and data through deconstruction and scattering data, assigning the data to one or more qubits and distributing the qubits over a blockchain. In some examples, algorithms are scanned to identify whether inputs are intended to or inadvertently targeting specific races or genders. These inputs may be used to draw particular conclusions about the individual's race, economic status, the area's economic state, etc. As such, an algorithm scanning engine protects against algorithmic biases with respect to race, gender, economic status, etc.