The COVID-19 is still spreading today, and it has caused great harm to human beings. The system at the entrance of public places such as shopping malls and stations should check whether pedestrians are wearing masks. However, pedestrians often pass the system inspection by wearing cotton masks, scarves, etc. Therefore, the detection system not only needs to check whether pedestrians are wearing masks, but also needs to detect the type of masks. Based on the lightweight network architecture MobilenetV3, this paper proposes a cascaded deep learning network based on transfer learning, and then designs a mask recognition system based on the cascaded deep learning network. By modifying the activation function of the MobilenetV3 output layer and the structure of the model, two MobilenetV3 networks suitable for cascading are obtained. By introducing transfer learning into the training process of two modified MobilenetV3 networks and a multi-task convolutional neural network, the ImagNet underlying parameters of the network models are obtained in advance, which reduces the computational load of the models. The cascaded deep learning network consists of a multi-task convolutional neural network cascaded with these two modified MobilenetV3 networks. A multi-task convolutional neural network is used to detect faces in images, and two modified MobilenetV3 networks are used as the backbone network to extract the features of masks. After comparing with the classification results of the modified MobilenetV3 neural network before cascading, the classification accuracy of the cascading learning network is improved by 7%, and the excellent performance of the cascading network can be seen.

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Currently, traditional flight data sharing models cannot resist quantum attacks, which poses the risk of data leakage. The research on the flight data sharing model against quantum attack has become one of the research hotspots. Lattice-based cryptography is recognized as an effective way to resist quantum attacks. A flight data sharing model on consortium blockchain is proposed in this paper to resolve data leakage during data sharing. First, a new lattice-based multisignature scheme (Lamus) is proposed, capable of resisting quantum attacks. We prove the security of the proposed Lamus scheme in the random oracle model. Moreover, a flight data sharing model on consortium blockchain is proposed by applying the proposed Lamus scheme to resist quantum attacks. Security and performance analysis show that the model guarantees antiquantum security, and it achieves good performance in terms of storage efficiency and operating efficiency.

Cloud computing is a new information technology. It is the product of the scientific and technological development of the times and plays an important role in the development of this country. In order to effectively solve the security problem of cloud computing data access, an identity-based privacy protection algorithm for cloud computing is proposed. The user information is stored in the cloud server at the registration stage, and the user identity is verified by signature when the information is obtained. The strong forward secure signature scheme can ensure that the signature is both forward secure and backward secure. At present, most signature schemes based on lattice focus on forward security. Therefore, this article constructs a strong forward secure signature scheme based on lattice and applies this signature scheme to cloud user authentication to ensure security.

Signcryption technology combines signature and encryption operations in a single step to achieve message authentication and confidentiality. The ordinary signcryption technology cannot realize communication between two different cryptographic systems. Therefore, to implement efficient communication between different cryptosystems and resist quantum attacks, this paper proposes a lattice-based efficient heterogeneous signcryption scheme. The heterogeneous signcryption scheme is proved to be secure assuming the hardness of small integer solution and learning with errors problems. Then this paper applies the latticebased efficient heterogeneous signcryption scheme to the federated learning system to achieve the transmission of confidential information, and designs an intelligent federated learning system on lattice-based efficient heterogeneous signcryption. This system realizes federated learning and the quantum security of data transmission while preserving private data.