Multispectral image reconstruction, which aims to recover a three-dimensional (3D) spatial-spectral signal from a two-dimensional measurement in a spectral camera based on ghost imaging via sparsity constraint (GISC), has been attracting much attention recently. However, faced with abundant 3D spectral data, the reconstruction quality cannot meet the visual requirements. Based on the robust data processing capability of deep learning, a novel network called SSTU-Net3+ is constructed by improving U-Net3+ with a spatial-spectral transformer (SST). To enhance the feature representation of images during reconstruction, mixed pooling modules and new convolution processes are proposed to improve the performance of the encoder and decoder, with U-Net3+ as the backbone. To boost the quality of reconstructed images, with split and concatenate (Concat) operations, we construct SST modules by exploiting both spatial and spectral correlations of multispectral images to refine the spatial and spectral features. Furthermore, we employ the SST in the decoder to reconstruct the desired 3D cube. Given similar network parameters, experiments on GISC spectral imaging data show that, compared to convolutional neural network-based methods, the average peak signal-to-noise ratio of images reconstructed using SSTU-Net3+ is improved by 3%, the structural similarity is enhanced by 3%, and the spectral angle mapping is cut by 12%. Particularly, compared to differential ghost imaging and compressed sensing, the reconstruction quality of SSTU-Net3+ has been significantly improved. SSTU-Net3+ can process a large amount of 3D multispectral image data more efficiently and construct the target image more accurately than the abovementioned methods.
Roadside unit (RSU) plays an important role in communication relay and data processing in the Internet of Vehicles. The rational deployment of roadside units directly affects the operational efficiency and system robustness of the Internet of Vehicles. This article proposes an RSU deployment scheme based on vehicular transmission demand. First, the mobility model of vehicles is mined through system communication transmission requirements to determine the total delay of vehicle communication transmission tasks. The delay includes two parts, namely, the vehicle data transmission delay and the channel service delay. Second, the optimization objective of the model is established, and some parameters such as inhibition distance coefficient are defined as constraint conditions. Finally, a evolutionary feature‐based RSU deployment algorithm, ICA‐EFRDA, preprocessed by a greedy algorithm is proposed to implement RSU deployment. The deployment results show that the proposed scheme has lower delay and higher coverage time ratio than the EFRDA scheme in both urban and suburban road networks. Under limited cost constraints, the system decides to place a limited number of RSUs in low‐traffic density areas of the suburban road network to improve performance. When the traffic density is high, the increased placement of RSUs in the urban road network has a more obvious effect on improving the service capability of the system. Under different deployment cost constraints, ICA‐EFRDA outperforms the comparison schemes in terms of the contacts per trip, contact probability, and packet delivery ratio.
Facing the untrusted threats of network elements and PKI/CA faced by SR-BE/TE(Segment Routing-BE/TE) data plane in the zero-trust network environment, firstly, this paper refines it into eight specific security issues. Secondly, an SR-BE/TE data plane security model ZbSR(ZTA-based SR) based on zero-trust architecture is proposed, which reconstructs the original SR control plane into a "trust-agent" two-layer plane based on 4 components of the controller, agent, cryptographic center and information base. On one hand, we distinguish between the two segment list generation modes and proposes corresponding data exchange security algorithms, by introducing north-south security verification based on identity authentication, trust evaluation, and key agreement before the terminal device establishes an east-west access connection, so reliable data exchange between terminal devices can be realized. On the other hand, for the network audit lacking SR-BE/TE, a network audit security algorithm based on solid authentication is proposed. By auditing the fields, behaviors, loops, labels, paths, and SIDs of messages, threats such as stream path tampering, SID tampering, DoS attacks, and loop attacks can be effectively detected. Finally, through the simulation test, the proposed model can provide security protection for the SR data plane with a 19.3% average incremental delay overhead for various threat scenarios.
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