Collaborative Jamming Detection via Global Map
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Solution Overview
Problem
Current V2V protocols lack a centralized control mechanism for the PC5 interface, making it difficult to detect and mitigate signal jamming, which can be exploited by malicious attackers to occupy communication channels, disrupting wireless coverage in LTE-V2X communications.
Innovation Solution
A collaborative jamming detection system that collects local jamming information from vehicles via the LTE-Uu interface, builds a global jamming map by correlating reports from multiple vehicles, and disseminates jamming information to vehicles to avoid resource wastage and detect stationary and mobile jamming devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized control mechanism is implemented for the PC5 interface to detect jamming, then jamming detection capability is improved, but the device complexity and infrastructure requirements worsen
Solution Approach 1:
The base station acts as an intermediary that collects jamming detection data from multiple vehicles via the Uu interface and processes it centrally. This mediator approach enables centralized jamming detection for the PC5 interface without requiring direct complex control mechanisms between vehicles, resolving the contradiction by introducing a third-party coordination point.
Solution Approach 2:
The system implements feedback loops where vehicles report channel quality indicators and jamming detection information to the base station, which then processes this feedback and can issue coordination messages back to vehicles. This feedback mechanism enables reliable jamming detection while maintaining manageable system complexity through structured information flow.
2Measurement precision
If collaborative jamming detection is implemented across multiple vehicles, then measurement precision of jamming location is improved, but the loss of time for data collection and processing worsens
Solution Approach 1:
Vehicles continuously monitor and report channel quality indicators to the base station even before jamming occurs. This preliminary data collection establishes a baseline of normal communication patterns, enabling the base station to quickly detect anomalies and locate jammers without requiring extensive real-time data collection when jamming is detected.
Solution Approach 2:
The system uses GPS coordinate information and resource block spectrograms as additional dimensions for jamming detection. By analyzing jamming reports across multiple spatial dimensions (vehicle locations) and frequency dimensions (resource blocks), the base station can precisely locate jammers more quickly than through single-dimension analysis alone.
3Reliability
If vehicles continuously monitor the PC5 interface for jamming, then detection reliability is improved, but energy consumption worsens
Solution Approach 1:
The base station merges jamming detection functions from multiple vehicles by collecting their reports through the Uu interface. Instead of each vehicle independently and continuously monitoring for jamming (which would consume significant energy), the system combines monitoring efforts centrally, maintaining high detection reliability while reducing individual vehicle energy consumption.
Solution Approach 2:
Vehicles utilize their existing channel sensing capabilities and report findings through normal uplink communications to the base station. This self-service approach allows vehicles to contribute to collaborative jamming detection using their existing operational infrastructure without requiring additional dedicated monitoring hardware or excessive energy expenditure.
4Measurement precision
If the base station collects and processes jamming information from all vehicles, then global jamming map accuracy is improved, but the productivity of normal communication worsens due to increased data traffic
Solution Approach 1:
The base station processes and maintains jamming information with different levels of detail based on local conditions. Rather than uniformly collecting and processing all possible data from every vehicle, the system focuses computational resources on areas and scenarios where jamming is detected or suspected, improving global jamming map accuracy while minimizing unnecessary data traffic during normal communication conditions.
Data Source
AI summary
A method for detecting communication jamming attacks includes collecting, via a processor associated with a base station, local jamming information from a first vehicle and a second vehicle. The local jamming information having an attack time, an attack localization, and an attack frequency. The method further includes building a global jamming map comprising global jamming information, based on the local jamming information, determining, based on the global jamming map, a location of a communication jamming device, and causing to transmit global jamming information to a third vehicle. The global jamming information is associated with the location of the communication jamming device.