Core Network Terminal Identification for Unauthorized UAV Detection
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Solution Overview
Problem
Existing unmanned aerial vehicle identification methods are inadequate for identifying unauthorized or unauthorized aircraft, leading to security vulnerabilities as they cannot detect devices without dedicated SIM cards or those that bypass supervision measures.
Innovation Solution
A method involving core network elements that utilize classification information and parameters such as cell quantity, distance, handover delay, and signal quality to identify terminal devices, including unauthorized UAVs, by obtaining and analyzing classification information from network data analysis elements and third-party sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a supervision system uses unique identity pre-stored in a third-party application server to identify unmanned aerial vehicles, then authorized UAVs can be effectively managed and controlled, but unauthorized UAVs or aircraft without dedicated SIM cards cannot be identified, resulting in security vulnerabilities
Solution Approach 1:
The patent introduces a core network element as an intermediary between the terminal device and the supervision system. This intermediary collects classification information from network data analysis elements and third-party network elements, enabling identification of unauthorized UAVs without requiring them to have dedicated SIM cards or register with the supervision system. The core network element acts as a mediator that extends identification capability to previously unreachable devices.
Solution Approach 2:
The patent performs preliminary classification of terminal devices into different types (e.g., aerial, ground, marine) before final identification. By obtaining classification information in advance from network data analysis elements and using it to determine device type, the system prepares identification data beforehand, enabling efficient and comprehensive identification of both authorized and unauthorized devices without requiring real-time manual verification.
2Reliability
If the supervision system relies on dedicated SIM cards and pre-stored unique identities, then authorized UAVs can be tracked and controlled, but the system becomes vulnerable to unauthorized devices that bypass these measures
Solution Approach 1:
The patent replaces the mechanical/SIM-card-based identification system with a network-based classification and parameter analysis system. Instead of relying on physical SIM cards and pre-stored identities, the system uses network data analysis elements to collect transmission parameters (such as signal strength, location, behavior patterns) and classifies devices accordingly. This substitution eliminates the security vulnerabilities associated with SIM card theft and bypasses the need for pre-registered identities.
Solution Approach 2:
The patent implements a feedback mechanism where the core network element continuously monitors transmission parameters from terminal devices, compares them against classification information from network data analysis elements, and updates identification results in real-time. This feedback loop enables the system to detect unauthorized devices dynamically and respond accordingly, enhancing security by continuously adapting to new device types and behaviors.
3Measurement precision
If the system collects and analyzes multiple parameters from network data analysis elements and third-party sources to identify terminal devices, then identification accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the identification system into distinct functional modules: a core network element for decision-making, network data analysis elements for data collection, and third-party network elements for additional information. Each module handles specific tasks (parameter collection, classification, identification), making the complex system more manageable and maintainable. This segmentation allows high accuracy through multiple parameters while keeping each component relatively simple and well-defined.
Data Source
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Figure 2B
AI summary
This application provides a method for identifying a terminal device and a communications apparatus. A core network element obtains classification information for classifying a terminal device, and then determines, based on the classification information and a parameter of a first terminal device, a type of the first terminal device, to identify the first terminal device. In this process, the core network element identifies the first terminal device in a supervision area by using the classification information and the parameter of the first terminal device, to identify a terminal device that is not registered in a supervision system, thereby improving security of the terminal device.