With every field of technology witnessing advancement and innovation, application of such innovations with refined expertise has eased human welfare. In present times also, internet of Things (IOT) is proving to be pa...
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The increasing use of Unmanned Aerial Vehicles (UAVs) in modern civilian and military applications shows the urgency of having a robust drone detector that detects unseen drone RF signals. Ideally, the system can also...
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ISBN:
(纸本)9791188428106
The increasing use of Unmanned Aerial Vehicles (UAVs) in modern civilian and military applications shows the urgency of having a robust drone detector that detects unseen drone RF signals. Ideally, the system can also classify known RF signals from known drones. This study aims to develop an incremental-learning framework which can classify the known RF signals, and further detect novel RF signals. We propose DEFEND: a Deep residual network-based autoEncoder FramEwork for known drone signal classification, Novelty Detection, and clustering. The known signal classification and novelty detection are performed in a semi-supervised and unsupervised manner, respectively. We used commercial drone RF signals to evaluate the performance of our framework. With our framework, we obtained 100% novelty detection accuracy at 1.04% False Alarm Rate (FAR) and 97.4% classification accuracy with only 10% labelled samples. Furthermore, we show that our framework outperforms the state-of-the-art (SoA) algorithms in terms of novelty detection performance.
Botnets pose a significant security threat to internet infrastructure, enabling malicious activities such as DDoS attacks and information theft. Attackers employ Domain Generation Algorithms (DGAs) to generate constan...
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image watermarking serves as a crucial technique for embedding video files into an image to assert ownership, safeguard intellectual property, and detect unauthorized usage. The video piracy issues arises from advance...
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This paper designs a digital remote real-time supervision system based on IP network. The front-end video data acquisition equipment uses Intel's Strong ARM embedded microprocessor, and adopts Motion JPEG compress...
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This paper explores the application of genetic algorithms to optimize ARX-Laguerre model parameters. It outlines the ARX-Laguerre modeling process and genetic algorithm principles. A fitness function is chosen and the...
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An object wave is a suitable intermediate representation format for transmitting holographic application data because it is compatible with various playback devices. However, compressing the phase component of the obj...
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This paper designs an image processing module with a series of functions, such as gray image conversion, pseudo-color enhancement, and binarization processing. According to the signal waveform collected by the system,...
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A more advanced description communication system has improved the research of WSN power-efficient transmitters (PETx) and power-efficient receivers (PERx) implemented. Many low power approaches have also been used to ...
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This paper proposes a Deformer-FPN target detection network based on the minimum model size yolov5-v7 (yolov5s) for detecting ships of different scales in SAR images. Due to the varied size of the ship and the differe...
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