Physical-Layer Signal Randomization for Low-Latency Privacy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication technologies face challenges in efficiently managing communication resources and ensuring privacy in high-speed, AI-enabled 6G systems, particularly in implementing differential privacy mechanisms at the physical layer, which can be costly and resource-intensive.
Innovation Solution
A method for randomizing signals using ε-differential privacy at the physical layer, leveraging natural noise in communication to reduce bandwidth and power consumption, and anonymizing data without the need for application-level computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If differential privacy mechanism is implemented at application layer, then privacy protection is achieved, but communication latency increases and device power consumption increases
Solution Approach 1:
The patent introduces a physical layer intermediary that handles differential privacy randomization before data reaches the application layer. The physical layer acts as a mediator that performs the computationally intensive randomization operations using hardware resources, thereby protecting privacy while preventing application layer processing delays.
Solution Approach 2:
The patent replaces the software-based differential privacy mechanism in the application layer with a hardware-based physical layer implementation. This substitution moves the computational burden from software processing to physical layer signal processing, reducing both latency and power consumption while maintaining privacy protection.
2Reliability
If differential privacy mechanism is implemented at application layer, then privacy protection is achieved, but device power consumption increases
Solution Approach 1:
The physical layer serves as an intermediary that handles the computationally intensive differential privacy operations using dedicated hardware resources. This prevents application layer processors from consuming excessive power while still achieving the required privacy protection through physical layer signal randomization.
Solution Approach 2:
The patent substitutes the power-intensive software-based differential privacy implementation with a more efficient hardware-based physical layer implementation. This reduces device power consumption by moving the computational burden to specialized physical layer circuitry rather than general-purpose application layer processors.
3Quantity of substance
If application directly connects to physical layer, then communication resources are reduced, but system complexity increases
Solution Approach 1:
The patent makes the physical layer universally functional by enabling it to perform both traditional signal processing functions and differential privacy randomization. This multi-functionality allows applications to connect directly to the physical layer for privacy-preserving operations without adding significant system complexity, as the physical layer is designed to handle diverse functions.
Data Source
AI summary
The present specification relates to a method and a device for randomizing a signal that satisfies ε-differential privacy, the method receiving a signal having a specific value of a bit error rate (BER), and generating a randomized signal on the basis of the signal, and then transmitting the randomized signal to a machine learning server. If a differential privacy mechanism is provided in a physical layer, true randomness of a wireless channel causes security to be less vulnerable than that of a pseudo random mechanism provided by an application, communication delay is reduced, and the power of the device can be reduced.