Wireless GUID Hashing for Secure Vehicle Bluetooth Pairing
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Solution Overview
Problem
Existing Bluetooth pairing processes in vehicles are vulnerable to fingerprint attacks due to the exposure of globally unique identifiers (GUIDs), allowing unauthorized devices to impersonate legitimate ones and access vehicle systems.
Innovation Solution
Implementing a random resolvable GUID (RRG) by hashing a timestamp, random number, and GUID with predefined salts to create a secure, virtually un-decryptable identifier for vehicle-device pairing, ensuring authentication through local matching of generated RRG values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If GUID is exposed for device identification, then device pairing is enabled, but security vulnerability to fingerprint attacks increases
Solution Approach 1:
The patent introduces RRG (Random Resolvable Guid) as an intermediary between the original GUID and the pairing process. Instead of exposing the GUID directly, the system generates RRG values by hashing the GUID with random salts and timestamps. This intermediary mechanism enables device identification and pairing while preventing direct access to the actual GUID, thereby resolving the contradiction between ease of pairing and security vulnerability
Solution Approach 2:
The patent transforms the static GUID into a dynamic RRG value by changing its parameters - adding random salts and timestamps to the hashing process. This parameter change ensures that the identifier is no longer fixed and predictable, preventing fingerprint attacks while maintaining the ability to resolve and match devices during pairing
2Reliability
If RRG hashing is implemented for security, then security against fingerprint attacks is improved, but computational complexity increases
Solution Approach 1:
The patent performs preliminary hashing actions during the device pairing setup phase, where RRG values are pre-generated and stored. By doing the computational work in advance rather than during each communication session, the system achieves high security through hashing while minimizing real-time computational complexity, resolving the contradiction between security and device complexity
Data Source
AI summary
An example operation includes one or more of receiving a message from a user device, the message comprising a timestamp, a random number, and a hash value, identifying a globally unique identifier (GUID) in a storage of a software application, combining the timestamp, the random number, and the GUID to generate a combined value, and hashing the combined value to generate a local hash value, and establishing a connection between the software application and the user device when the local hash value matches the hash value.