Pattern-Driven Sensor Authentication for IoT Gateways

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Solution Overview

Problem

IoT devices are vulnerable to remote threats and man-in-the-middle attacks due to their connectivity, which can lead to resource-intensive authentication processes and denial of service attacks, especially when dealing with a large number of IoT sensors.

Innovation Solution

Implementing an IoT prioritized sensor authentication management system that compares received data packets to pre-defined patterns or averages, quarantining packets that deviate significantly, and performing authentication only for prioritized sensors, thereby reducing unnecessary authentication processes and mitigating malicious spoofing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If password protection is implemented for every IoT sensor value, then security against man-in-the-middle attacks is improved, but resource consumption and processing time increase substantially

Engineering Contradiction:
ImprovesecurityVSAvoidresource consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies local quality by implementing differentiated authentication: high-priority sensors receive full password protection while low-priority sensors use simplified validation. This selective approach maintains security where needed while reducing resource consumption for non-critical sensors, directly resolving the contradiction between comprehensive security and resource efficiency.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments sensors into priority groups (high and low) and applies different authentication mechanisms to each segment. High-priority sensors undergo full password verification while low-priority sensors use lighter validation, thereby reducing overall resource consumption while maintaining security for critical devices.

Inventive Principle:
Principle #1Segmentation

2Reliability

If password protection is implemented for every IoT sensor value, then security against man-in-the-middle attacks is improved, but the system becomes vulnerable to denial of service attacks

Engineering Contradiction:
ImprovesecurityVSAvoidsystem availability
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

By applying password protection selectively only to high-priority sensors rather than uniformly to all sensors, the system maintains security for critical devices while avoiding DoS vulnerability. Low-priority sensors use simplified validation that does not burden the gateway, preserving system availability and preventing DoS attacks.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The segmentation of sensors by priority level creates different processing paths: high-priority sensors get secure but resource-intensive authentication, while low-priority sensors use fast validation. This prevents malicious actors from overwhelming the gateway with authentication requests from low-priority devices, thus preventing DoS attacks while maintaining security where needed.

Inventive Principle:
Principle #1Segmentation

3Reliability

If authentication is performed for all sensors, then security is improved, but processing time and resource intensity increase

Engineering Contradiction:
Improveauthentication securityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies full authentication processing only to high-priority sensors where security is critical, while low-priority sensors receive expedited validation. This localized approach to authentication quality reduces overall processing time while maintaining security for devices where it matters most.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11323883B2Pattern driven selective sensor authentication for internet of things
Publication Date: 2022.05.03 INLECOM SYST LTD
  • US11323883B2 patent drawing
  • US11323883B2 patent drawing

AI summary

Internet-of-Things (IoT) prioritized sensor authentication management includes receiving in an IoT gateway different packets of data from different sensors over a computer communications network. For each received packet of data from a corresponding one of the different sensors, the received packet of data is compared to a pattern associated with the corresponding one of the different sensors. On the condition that the received packet of data is within a threshold of similarity to the pattern, a sensor value may be extracted from the received packet of data and transmitted to a sensor monitor. But otherwise, the received packet of data is placed into quarantine in memory of the IoT gateway, authentication of the corresponding one of the different sensors is performed, and in response to the authentication, the packet is released from quarantine, the sensor value extracted from the received packet of data and transmitted to the sensor monitor.