A probabilistic jamming UAV-assisted wireless covert communication method and system
The probabilistic jamming strategy of sending variable noise signals with the assistance of drone repeaters solves the problems of concealment and insufficient resource utilization in wireless covert communications and achieves more efficient covert communications.
CN119028183BActive Publication Date: 2025-09-19XIAN UNIV OF POSTS & TELECOMM
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Patent Information
- Application Number
- CN202410975723.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-19
- Publication Date
- 2025-09-19
- Estimated Expiration
- 2044-07-19
AI Technical Summary
Technical Problem
Existing wireless covert communication technologies have deficiencies in concealment and resource utilization, especially the impact of interference signals on legitimate communication processes and the waste of resources.
Method used
A drone-assisted wireless covert communication method using probabilistic jamming is proposed. Friendly drone repeaters assist the source node in sending variable noise signals to confuse the detector, and an optimization problem is constructed to maximize the covert rate.
Benefits of technology
It improves the concealment of the communication system, reduces interference with legitimate communication processes, saves resources, and maximizes the concealment rate.
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Abstract
The present invention discloses a probabilistic jamming UAV-assisted wireless covert communication method and system, comprising the following steps: constructing a transmission model and a communication process of the communication system; obtaining a signal received by a UAV, a forwarded signal of the UAV, and a forwarding amplification factor according to the transmission model and the communication process; during the signal forwarding process, a detector determines whether the UAV has signal forwarding by analyzing the transmitted signal of the UAV; the detector performs a binary hypothesis test based on the received signal, and obtains Willie's two detection error probability expressions according to the Neyman-Pearson optimal decision rule; constructing an optimization problem based on the effective concealment rate that can be obtained by the destination node under the condition that concealment constraints are met, and solving the optimization problem to obtain the maximized concealment rate; designing a source node function so that it sends probabilistic interference to confuse the detector's detection, thereby assisting the transmission of secret information, improving system performance through concealment performance constraints, and maximizing the final concealment rate that can be obtained.
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