Reference Signal Attack Detection in Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communication networks, such as 5G NR, location estimation of User Equipment (UE) is compromised by attackers that decode and mimic reference signals, leading to reduced accuracy in positioning due to the vulnerability of encoded reference signals.
Innovation Solution
Implementing time and angle consistency checks to detect attacks by comparing measured signal characteristics with expected values, using Orthogonal Frequency Division Multiplexing (OFDM) symbols and resource repetitions, and reporting detected attacks to mitigate positioning inaccuracies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reference signals are encoded to prevent unauthorized access, then security is improved, but vulnerability to decoding and mimicking attacks increases
Solution Approach 1:
The system performs consistency checks by comparing received reference signal characteristics against expected values derived from previous signals or signal properties. This feedback mechanism detects deviations indicating mimicking attacks, allowing the system to identify and respond to security threats while maintaining encoded signal integrity
Solution Approach 2:
The system pre-establishes expected signal characteristics and consistency criteria before attacks occur. By having predetermined reference values and consistency checks in place, the system can quickly detect when received signals deviate from expected patterns, enabling proactive security monitoring without requiring real-time complex analysis
2Measurement precision
If location estimation accuracy is improved through precise signal measurement, then positioning value increases, but susceptibility to attack decreases accuracy
Solution Approach 1:
The system continuously monitors signal characteristics and compares them against expected values to detect attacks. When inconsistencies are detected indicating mimicking attempts, the system can reject compromised measurements or trigger alerts, thereby maintaining location estimation reliability even when precise measurements are vulnerable to manipulation
Solution Approach 2:
The system performs more measurements and consistency checks than strictly minimum required. By collecting multiple signal characteristics and performing redundant verification, the system creates a buffer against attack effectiveness, requiring attackers to successfully compromise multiple independent measurement pathways to degrade location accuracy
3Reliability
If consistency checks are performed across multiple reference signals, then attack detection capability is improved, but processing complexity increases
Solution Approach 1:
The consistency check process is divided into discrete, manageable components: extracting specific signal characteristics, comparing against pre-established expected values, and evaluating for inconsistencies. This segmentation allows complex attack detection to be performed through multiple simple, independent checks rather than a single complex analysis, reducing processing burden while maintaining detection capability
Solution Approach 2:
Expected signal characteristics and consistency criteria are pre-calculated and stored before actual signal reception. This preliminary preparation eliminates the need for complex real-time calculations during signal processing, as the system only needs to compare received values against pre-established references, significantly reducing processing complexity during operation
Data Source
AI summary
Man-in-the-middle attacks on reference signals used for positioning a mobile device in a wireless network can be detected through time and/or angle consistency checks. Time consistency checks may be based on a consistency of peak location and/or power delay profile across multiple reference signals and/or across different signal types, for example. Angle consistency checks may be based on a consistency of an angle at which a reference signal is received across multiple reference signals and/or in comparison with an expected angle, for example. Embodiments may further include reporting detected attacks.