IoT Data Interaction Selection With NFT Device Authentication

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Solution Overview

Problem

IoT devices with limited memory and processing capabilities face challenges in implementing robust cybersecurity protocols, making them vulnerable to cyber-attacks that can lead to data theft, especially when set to automatically perform data interactions with little human intervention.

Innovation Solution

The use of Non-Fungible Tokens (NFTs) to secure data interactions performed by IoT devices, where an NFT is mapped to an IoT device using a minting server of an NFT blockchain network, ensuring authentication and identity verification of the IoT device during data interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If robust cybersecurity protocols are implemented in IoT devices, then data security is improved, but device complexity increases

Engineering Contradiction:

Improvedata securityVSAvoidcybersecurity protocol complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

A cloud-based security service acts as an intermediary between the IoT device and the network. The service handles complex security functions including certificate validation, device authentication, and threat detection remotely, eliminating the need for complex security protocols to be embedded in the resource-constrained IoT device itself.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical security measures (embedded security protocols, local authentication mechanisms) with a software-based cloud service that uses cryptographic certificates and remote verification. This substitutes complex local security mechanisms with simpler device operations combined with remote security validation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated data interactions are enabled with little human intervention, then productivity is improved, but vulnerability to cyber-attacks increases

Engineering Contradiction:

Improveautomated data interaction efficiencyVSAvoidvulnerability to cyber-attacks

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

Security certificates and authentication credentials are issued and validated in advance before automated data interactions begin. The cloud service pre-validates device identities and establishes security contexts beforehand, enabling automated operations without requiring real-time human intervention for security verification.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops where the cloud service monitors automated data interactions for suspicious patterns and automatically responds by revoking certificates or blocking transactions. This real-time feedback mechanism maintains security during automated operations without requiring manual security monitoring.

Inventive Principle:

Principle #23Feedback

3Device complexity

If simple cybersecurity measures are used in IoT devices, then device complexity is reduced, but data security deteriorates

Engineering Contradiction:

Improvecybersecurity implementation simplicityVSAvoiddata security

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The cloud-based security service serves as a mediator that provides sophisticated security functions without requiring them to be implemented locally in the IoT device. The service handles complex cryptographic operations, certificate validation, and security policy enforcement remotely, maintaining strong security while keeping the device simple.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Object-affected harmful factors

If human intervention is required for each data interaction, then security can be monitored, but productivity decreases

Engineering Contradiction:

Improvesecurity monitoring capabilityVSAvoiddata interaction throughput

Core Design Contradiction:

Object-affected harmful factorsVSProductivity

Solution Approach 1:

The system enables self-service security operations where the cloud-based service automatically performs security monitoring, certificate validation, and threat detection without requiring human intervention. The service autonomously responds to security events and manages security policies, maintaining both security monitoring and high productivity simultaneously.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250291912A1Selecting data interactions to be performed by an Internet of Things (IoT) device

Publication Date: 2025.09.18 BANK OF AMERICA CORP

AI summary

A processor records in a memory a plurality of data interactions conducted using a first user device associated with a first user and determines a behavior log associated with the first user, wherein the behavior log stores events associated with the plurality of data interactions conducted using the first user device. The processor compares a first future event with the behavior log and determines that a first data interaction was previously conducted using the first device in relation to a second event that is associated with the first future event. The processor initiates the first data interaction in relation to the first future event using the first user device.