Beacon Telemetry Encryption Key Management
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Solution Overview
Problem
Current Bluetooth and Wi-Fi encryption protocols face challenges in securely transmitting beacon telemetry data, as they require a balance between encrypting sensitive information and allowing intermediate hops to prioritize packets, while also ensuring confidentiality and minimizing battery power consumption in low-power beacon devices.
Innovation Solution
A management server is introduced to control the distribution of encryption keys based on beacon device battery power state, using a secure key management system that encrypts telemetry packets with a portion for confidentiality and a portion for routing priority, ensuring only the management server can decrypt the data and intermediate hops can validate message integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire broadcast payload is encrypted, then data confidentiality is improved, but intermediate hop devices cannot prioritize packet transmission
Solution Approach 1:
The broadcast payload is segmented into two distinct portions: an encrypted portion containing sensitive data that requires confidentiality, and an unencrypted portion containing metadata such as priority information that intermediate hop devices need to process. This segmentation allows both encrypted transmission of sensitive data and unencrypted transmission of routing metadata, resolving the contradiction between confidentiality and prioritization capability.
2Ease of operation
If the entire broadcast payload is left in clear text, then intermediate hops can prioritize packets, but data confidentiality is lost
Solution Approach 1:
The payload is divided into encrypted and unencrypted segments, where the unencrypted metadata portion enables intermediate hops to perform prioritization while the encrypted data portion maintains confidentiality. This partial encryption approach satisfies both requirements simultaneously.
3Reliability
If encryption keys are frequently distributed to beacon devices, then security is improved, but battery power consumption increases
Solution Approach 1:
Instead of continuous or frequent key distribution, the system implements periodic key distribution with optimized intervals. The management server determines appropriate key rotation schedules that balance security requirements with the power constraints of battery-powered beacon devices, reducing unnecessary key updates that would consume energy.
Solution Approach 2:
The system dynamically adjusts encryption parameters and key management strategies based on the operational context and power state of beacon devices. By changing parameters such as key lifetime, encryption algorithm selection, and update frequency, the system optimizes the balance between security strength and power consumption.
4Reliability
If point-to-point encryption is used, then data confidentiality is improved, but decryption at multiple intermediate hops increases processing complexity
Solution Approach 1:
The decryption function is extracted from intermediate hop devices and concentrated at the central management server. Intermediate hops only perform lightweight operations such as forwarding and priority-based routing on encrypted packets, while the management server performs the computationally intensive decryption operation. This extraction reduces processing complexity at intermediate nodes while maintaining confidentiality.
Data Source
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AI summary
In accordance with one aspect, presented herein is a method to encrypt beacon device telemetry broadcast packets while respecting the low power and low processing requirements inherent to wireless beacon devices and various other challenges which such an encryption scheme brings. In accordance with another aspect, a methodology is provided through which the network can identify if an unauthorized connection is being established with a beacon device and thereby prevent potential beacon device tampering.