False Base Station Detection via Downlink Comparison
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Solution Overview
Problem
Current wireless communication systems face challenges in detecting false base stations, which can intercept and alter transmissions, leading to potential attacks on user equipment, and existing technologies lack effective methods to differentiate between legitimate and imposter base stations.
Innovation Solution
The proposed solution involves a method and apparatus for detecting false base stations by comparing downlink transmissions from a base station to reference transmissions, generating and transmitting feedback information to identify altered signals, and processing this information to determine if a base station is an imposter, utilizing processors and memory to perform these operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If downlink transmissions are compared to reference transmissions to detect false base stations, then detection accuracy is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The system performs preliminary actions by storing reference downlink transmissions before comparison operations. The network entity maintains a database of legitimate base station transmission patterns, allowing the comparison process to focus on detecting deviations rather than analyzing raw signals from scratch, thus improving detection accuracy while managing processing complexity.
Solution Approach 2:
The patent introduces feedback information as an intermediary element that mediates between the raw downlink transmissions and the detection decision. The network entity processes transmissions, generates structured feedback information indicating whether alterations are detected, and uses this intermediate representation to make detection decisions, simplifying the overall processing architecture.
2Reliability
If feedback information is generated and transmitted to detect imposter base stations, then reliability is improved, but loss of time increases due to additional transmission and processing steps
Solution Approach 1:
The system extracts only the essential detection results into compact feedback information rather than transmitting and processing complete transmission data. The network entity generates feedback that indicates whether alterations are detected without needing to analyze the full downlink transmission content, thus maintaining reliability while reducing time loss.
Solution Approach 2:
The comparison operation focuses on detecting alterations rather than performing complete signal analysis. The system applies partial action by only examining whether transmissions match reference patterns, rather than analyzing all aspects of the signal, which maintains detection reliability while reducing processing time.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for detecting false base stations and transmissions therefrom.