Edge Computing Units for Decentralized Intrusion Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing systems for detecting intrusions and anomalies in vehicle networks face challenges due to insufficient processing power, data aggregation issues, and bottlenecks in centralized backend systems, which can lead to increased latencies and reduced scalability.

Innovation Solution

A distributed intrusion and anomaly detecting edge cloud system, where multiple edge computing units are coupled to form a network that can transmit and receive data, analyze received data for anomalies, and share information across the edge cloud to enhance detection capabilities and reduce reliance on centralized systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a centralized backend system is used to aggregate and analyze all data from connected vehicles, then comprehensive analysis capability is improved, but system latency and processing bottleneck increase

Engineering Contradiction:

Improveanalysis capabilityVSAvoidprocessing latency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the centralized backend system into multiple distributed edge computing units deployed across different locations. Each edge unit performs local data aggregation and analysis, reducing the need to transfer all raw data to a central server. This segmentation maintains comprehensive analysis capability while reducing processing latency through parallel distributed operations.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a spatial dimension by distributing edge computing units across multiple geographic locations rather than relying on a single centralized backend. This dimensional change enables simultaneous data processing at multiple edges, reducing the time bottleneck while maintaining comprehensive analysis through coordinated multi-edge operations.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Quantity of substance

If a centralized backend system aggregates all vehicle data, then data aggregation completeness is improved, but system scalability and efficiency deteriorate

Engineering Contradiction:

Improvedata aggregationVSAvoidsystem efficiency

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The patent divides the data aggregation function across multiple edge computing units, each responsible for collecting and preprocessing data from vehicles in their local vicinity. This segmentation maintains complete data aggregation through distributed collection while improving system efficiency by eliminating the single-point bottleneck of centralized aggregation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent combines the data aggregation capabilities of multiple edge computing units into a coordinated distributed network. Each edge unit aggregates local data independently, and their results are merged through inter-edge communication, achieving complete data aggregation with improved efficiency through parallel operations.

Inventive Principle:

Principle #5Merging (Combining)

3Power

If more processing power is concentrated in a central entity, then overall analysis capability is improved, but bandwidth limitations and prioritization issues increase

Engineering Contradiction:

Improveprocessing powerVSAvoidbandwidth management

Core Design Contradiction:

PowerVSDevice complexity

Solution Approach 1:

The patent segments processing power across multiple edge computing units distributed in the network, eliminating the need for a single central entity to handle all data traffic. Each edge unit possesses sufficient processing power for local analysis, reducing bandwidth requirements and eliminating complex centralized bandwidth management.

Inventive Principle:

Principle #1Segmentation

4Adaptability or versatility

If a centralized system handles complex attack scenarios with multiple distributed attacks, then coordination capability is improved, but response time and handling efficiency worsen

Engineering Contradiction:

Improveattack scenario handlingVSAvoidresponse efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent segments the response handling function across multiple edge computing units, allowing each edge to independently detect and respond to attacks in its local area. This segmentation enables parallel handling of multiple distributed attacks simultaneously, improving response efficiency while maintaining coordinated defense through inter-edge communication.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent enables edge computing units to perform preliminary attack detection and response actions locally without waiting for centralized coordination. This preliminary action at the edge reduces response time for critical security events while maintaining overall system coordination through subsequent information sharing between edges.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12335307B2Edge-based decentralized intrusion and anomaly detection

Publication Date: 2025.06.17 CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH

AI summary

This patent application is directed to a method for detecting intrusions and anomalies, an intrusion and anomaly detecting edge computing unit, and a system for detecting intrusions and anomalies.