Enterprise Edge Protection With Homomorphic Device Verification

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current battlefield communication systems fail to adequately address the unique security threats and environmental differences between commercial and military communication environments, allowing adversaries to breach networks and manipulate data, creating false realities for Battle Management Systems.

Innovation Solution

Implement a smart military communication system utilizing Chip Scale Atomic Clocks, homomorphic encryption, and adaptive security protocols to verify edge device integrity through time stamps and computations, flagging compromised devices, and employing homomorphic encrypted artificial intelligence and ledgers to manage data securely.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional battlefield communication systems are used, then communication efficiency is maintained, but security against bad actors and data manipulation is insufficient

Engineering Contradiction:
Improvecommunication securityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments security verification into multiple independent components: homomorphic encryption modules at edge devices, timestamp verification at enterprise devices, and distributed validation across the network. This segmentation allows complex security functions to be distributed and managed independently, improving reliability without overwhelming system complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Homomorphic encryption serves as an intermediary mechanism that allows data to remain encrypted during processing and verification. The encrypted timestamps and data sets act as intermediaries that enable security verification without requiring decryption, thus maintaining security while enabling validation through mathematical operations on encrypted data.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If homomorphic encryption is implemented for secure data transmission, then data security is improved, but computational overhead and transmission time increase

Engineering Contradiction:
Improvedata securityVSAvoidtransmission time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-establishing homomorphic encryption keys and protocols at edge devices before data transmission. Timestamps are generated and encrypted in advance using homomorphic properties, allowing verification to occur without real-time decryption overhead, thus reducing transmission time while maintaining security.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes the parameter of data representation by using encrypted timestamps and homomorphic encrypted data sets instead of plain text. This parameter change allows mathematical operations to be performed on encrypted data directly, eliminating the need for decryption during verification and significantly reducing transmission time.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If encrypted data sets are used for verification, then detection precision of bad actors is improved, but the complexity of verification processes increases

Engineering Contradiction:
Improvedetection precisionVSAvoidverification complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The verification system uses self-service mechanisms where encrypted timestamps and data sets verify themselves through homomorphic mathematical operations. The encrypted data contains inherent verification properties that allow edge devices and enterprise devices to perform self-validation without requiring complex external verification protocols, thus improving detection precision while managing verification complexity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system replaces mechanical verification methods (decryption and manual validation) with mathematical operations on encrypted data. Homomorphic encryption allows arithmetic and logical operations to be performed directly on encrypted values, substituting complex decryption mechanics with simpler mathematical transformations that maintain detection precision.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Reliability

If multiple edge devices are connected and verified, then network security is improved, but the complexity of managing and verifying devices increases

Engineering Contradiction:
Improvenetwork securityVSAvoiddevice management ease
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system implements universal verification protocols that work across multiple edge devices with different functions and configurations. The homomorphic encryption framework and timestamp verification mechanism provide a unified approach that can be applied to any edge device in the network, improving network security while simplifying device management through standardized procedures.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12413619B2Enterprise protection via identification and mitigation of bad actors at the edge
Publication Date: 2025.09.09 PARRY LABS LLC
  • US12413619B2 patent drawing

AI summary

A smart communication system that provides enterprise protection via identification and mitigation of bad actors at the edge by employing homomorphic encryption in conjunction with monitoring the time stamps of edge devices, making sure those edge devices are geographically located where they are supposed to be, and making sure those edge devices are operating consistent the hardware they are known to be.