Edge-AI Jamming Detection and Data Recovery for Federated Learning

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional defense mechanisms fail to effectively mitigate malevolent adversarial jamming attacks in split federated learning systems, particularly in edge-AI deployment environments, due to the mobile nature of cellular edge devices and the sophistication of smart jammers, which compromise wireless transmissions and impair data integrity.

Innovation Solution

A computer-implemented method that includes detecting and monitoring adversarial jamming (MDJ) processes to identify potential threats, deploying pre-emptive edge user device protection (PPP) to secure devices, and post-process jammed data (PJD) to cleanse impaired data at the recipient, while generating and distributing new parameters to affected devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional defense mechanisms are used, then system simplicity is maintained, but reliability against adversarial jamming attacks deteriorates

Engineering Contradiction:

Improvereliability against jamming attacksVSAvoidcomplexity of defense mechanisms

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements pre-emptive protection processes that are deployed before jamming attacks occur. The system continuously monitors for signs of adversarial activity and prepares defensive measures in advance, such as adjusting transmission parameters and preparing countermeasures, thereby improving reliability without requiring complex real-time response mechanisms during actual attacks.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system employs continuous monitoring and detection processes that provide feedback about potential jamming threats. This feedback loop enables the system to adapt its defense strategies dynamically, improving reliability through informed decision-making while maintaining manageable complexity through automated response protocols.

Inventive Principle:

Principle #23Feedback

2Reliability

If pre-emptive protection processes are deployed, then reliability against jamming attacks is improved, but use of energy increases

Engineering Contradiction:

Improveprotection against jamming attacksVSAvoidenergy consumption of edge devices

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system implements selective pre-emptive protection that is activated only when monitoring processes detect potential threats or based on risk assessments of specific edge devices. This partial action approach provides adequate protection against jamming attacks while avoiding continuous full-system activation, thereby managing energy consumption more efficiently.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The monitoring and protection system is designed to operate autonomously at the edge devices, using local computational resources to detect threats and initiate protective measures without requiring constant cloud communication. This self-service capability reduces energy consumption by eliminating redundant data transmission while maintaining protection effectiveness.

Inventive Principle:

Principle #25Self-service

3Measurement precision

If continuous monitoring is performed, then detection precision of jamming attacks is improved, but productivity of the system deteriorates

Engineering Contradiction:

Improvedetection precision of adversarial jammingVSAvoidsystem operational efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The monitoring system employs event-driven architecture that focuses computational resources on detecting specific adversarial patterns rather than continuously analyzing all transmitted data. When potential threats are detected, the system intensifies monitoring temporarily, then returns to lower-intensity surveillance, thereby maintaining high detection precision while preserving system productivity through selective attention to critical events.

Inventive Principle:

Principle #21Skipping (Rushing through)

Data Source

PatentUS12489544B2Dynamically applied processes for mitigating adversarial jamming attack events

Publication Date: 2025.12.02 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A computer-implemented method (CIM), according to one embodiment, includes performing a detecting and monitoring adversarial jamming (MDJ) process for an edge environment that includes a first edge device and a central hub. In response to a determination that a jamming attack event is likely to occur, a pre-emptive edge user device protection process (PPP) is caused to be deployed. In response to a determination that a jamming attack event has occurred, a post-process jammed data (PJD) process is caused to be deployed at a recipient of a wireless transmission subject to the jamming attack event. The CIM further includes generating, based on results of deploying the PPP and/or the PJD process, a first set of new parameters for a model of a device that sent the wireless transmission, and causing the first set of new parameters to be distributed to the model of the device that sent the wireless transmission.