Drone Fleet Authorization Using Blockchain Identity and Distress Handover

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Solution Overview

Problem

Existing drone management systems lack efficient methods for tracking, authorizing, and managing multiple drones in real-time, particularly in dynamic and adversarial environments, leading to potential security risks and inefficiencies in mission execution.

Innovation Solution

Implementing a blockchain-based system for secure drone identity management, communication, and authorization, using unique private keys, ERC20 tokens, and decentralized storage to ensure secure and reliable drone operations, including heartbeat mechanisms for monitoring and token revocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a single drone management process is used for conventional drones, then operational simplicity is maintained, but security risks and inefficiencies increase in dynamic and adversarial environments

Engineering Contradiction:
ImprovesecurityVSAvoidmanagement system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the drone management system into multiple independent components: individual drone identity modules, separate authorization mechanisms, and distributed monitoring functions. Each drone operates with its own cryptographic key pair and token-based authorization, eliminating the single-point-failure vulnerability of centralized management while enhancing security through modular architecture.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces blockchain technology as an intermediary layer between drones and the management system. This decentralized ledger serves as a neutral mediator that records drone identities, authorizations, and operations immutably, enabling secure peer-to-peer verification without requiring trusted centralized authorities, thus resolving the contradiction between security and complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If real-time tracking and monitoring of multiple drones is implemented, then mission execution efficiency is improved, but system complexity and computational requirements increase

Engineering Contradiction:
Improvemission execution efficiencyVSAvoidtracking system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements self-service mechanisms where drones autonomously manage their own identities through cryptographic key pairs, generate and validate their own authorization tokens, and maintain their operational records on the blockchain. This eliminates the need for complex centralized tracking infrastructure, as each drone independently verifies its own authorization status through smart contract interactions, thereby improving productivity without proportionally increasing system complexity.

Inventive Principle:
Principle #25Self-service

3Reliability

If secure communication protocols are implemented between drones, then data security is enhanced, but communication overhead and processing time increase

Engineering Contradiction:
Improvedata securityVSAvoidcommunication processing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements preliminary action by pre-generating cryptographic key pairs and authorization tokens for each drone before mission deployment. These security credentials are stored locally and ready for immediate use, eliminating the need for real-time key exchange or authentication handshakes during critical communication windows. This pre-computation approach maintains high data security through cryptographic verification while minimizing communication overhead and processing delays during actual drone operations.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250264879A1Adaptive learning approach for a drone
Publication Date: 2025.08.21 METROSTAR SYST LLC
  • US20250264879A1 patent drawing
  • US20250264879A1 patent drawing
  • US20250264879A1 patent drawing

AI summary

A method comprising receiving, via a server, a distress signal from a first drone determining among a plurality of drones performing mission tasks, is experiencing distress and has entered a mitigation procedure responsive to the mitigation procedure to include the content received from the first drone; and assigning, via the server, a new drone to replace the first drone as a follower drone or a leader drone.