Search Results - "Tongxin xuebao"

To address the problem that existing deep learning methods for smart contract vulnerability detection rely on single-modal feature extraction and insufficient contextual information capture, leading to relatively low detection accuracy, a smart contract vulnerability detection method based on the Bi...

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To address the shortcomings of multipath clustering algorithms in terahertz channel modeling, particularly in terms of multidimensional parameter adaptability and unsupervised feature separation, a variational autoencoder-based latent space multipath clustering (VAE-LMC) model was proposed. Firstly,...

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To address the problem of deterministic end-to-end transmission in hybrid multi-domain networks, a software-defined time-sensitive network organization solution was proposed. Based on the software-defined paradigm, the solution was designed with coordinated and domain controllers to enable connectiv...

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For current unmanned aerial vehicle (UAV) network handover authentication protocols in cloud-edge colla-borative environments suffered from low efficiency and lack of physical security, an efficient handover authentication protocol based on physical unclonable function was proposed, which achieved l...

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A deep learning model based on one-dimensional-convolutional neural network-convolutional long short-term memory (LSTM) attention network (1DCNN-CLANet) was proposed to improve the ranging accuracy and positioning performance of ultra wide band (UWB) localization systems under non-line-of-sight (NLo...

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In cloud-edge-end scenarios, edge caching technology aims to promote collaborative content distribution among edge nodes, thereby alleviating the traffic load on backhaul links and enhancing service quality. Considering the dynamic changes in content popularity, a time convolution network based cont...

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When taking the diversity of power data sharing, the privacy of power data and the large scale of power data into consideration, the existing data sharing platforms would suffer the following disadvantages: the low scalability and the poor security. For this reason, a secure and efficient power data...

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To address the challenges in achieving dynamic communication-sensing trade-offs and the high complexity of conventional optimization methods in existing fluid antenna (FA)-assisted integrated sensing and communication (ISAC) systems, a weighted joint optimization scheme for FA-assisted ISAC beamform...

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To address the challenges of modality information imbalance, non-uniform audiovisual noise, and modality asynchrony in video anomaly detection, a multimodal video anomaly detection method called CM-HVAD was proposed for accurate anomaly detection. Firstly, a novel dynamic cross-modal fusion module w...

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Aiming at the problems of traditional encrypted traffic classification methods limited by the imbalance of dataset classes and the unreliability of the features used in complex network environments, an encrypted traffic classification method based on parallel traffic graph and graph neural network w...

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With the deep integration of wireless communication and radar sensing technologies, integrated sensing and communication (ISAC) shares hardware platforms and spectrum resources. It has demonstrated significant potential for enhancing system efficiency. However, traditional ISAC relying on prior mode...

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To address the issues of high computational complexity, low feedback accuracy, and neglect of quantization loss in existing deep learning-based channel state information (CSI) feedback methods for frequency-division duplex massive multiple-input multiple-output (MIMO) systems, the deep learning algo...

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Aiming at the data transmission scheduling problem in the satellite Internet integrating communication and remote sensing (SatInternet-CR), a mathematical model with the goal of maximizing data transmission profits was established subject to constraints including data transmission windows and satell...

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Aiming at the problem of the limited number of training sequences in the wideband generalized spatial modulation (GSM) system, the construction methods of the optimal symmetric Z-complementary code set (SZCCS) and the enhanced cross Z-complementary set (E-CZCS) were studied. A new construction metho...

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To improve the performance of two-dimensional direction-of-arrival (DOA) estimation of signals, a three-dimensional sparse array structure and its coupled tensor decomposition-based DOA estimation method was proposed. By utilizing the second-order statistics of the signals from these subarrays, a vi...

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The performance maximization was investigated in a reconfigurable intelligent surface (RIS) assisted multi-cluster wireless powered communication network (WPCN). To enhance the self-sustaining capability of the network, the signal-to-noise ratio (SNR) of network devices was constrained and a hybrid...

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Inference services based on large language models may lead to the leakage of user input hints to the server or proprietary model weights to the user. Cryptographic techniques such as secure multi-party computation and homomorphic encryption provide feasible solutions to the above problems, but they...

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Attackers dynamically register domain names through the domain generation algorithm (DGA) to support malware activities. The continuous evolution of malicious domain names leads to the phenomenon of concept drift, rendering the existing detection techniques based on continual learning models less ef...

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To achieve the goal of highly intelligent and controllable network, and a highly controllable large-scale network operating system was proposed based on large language model (LLM). Through network situation awareness and the intention understanding of fine-tuning LLM, resource allocation was optimiz...

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Existing research on data security risk mechanisms had not fully accounted for the unique formation causes and elements of cross-border data risks, limiting our understanding of their overall landscape and internal connections. In response, a business-driven approach was proposed to analyze cross-bo...

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