Network security situation assessment is an important means of understanding the current network security situation to provide a basis for taking security measures. To address the problem that the accuracy of existing network security situation assessment methods needs to be improved, this paper proposes a network security situation assessment method based on support vector machine (SVM) optimized by whale optimization algorithm (WOA) that is improved by adaptive weight (AW) combined with simulated annealing algorithm (SA). In this method, the SVM is embedded into the fitness function calculation of the improved WOA, and the global optimization characteristics of WOA are used to determine the optimal penalty parameter $c$ and kernel function parameter $g$ of the SVM. To solve the problem of the WOA being prone to falling into local extremum and slow convergence when solving large and complex data problems, an adaptive weight is used to adjust the whale position update coefficient, and a simulated annealing algorithm (SA) is used to increase random search factors to avoid falling into local extremum, so as to improve the global optimization ability. The experimental results show that this method is feasible, can assess the network security situation more accurately, and has better convergence than other assessment algorithms based on an improved SVM.

Unmanned aerial vehicles (UAVs) are highly versatile and cost-effective, making them an attractive option for various applications. In UAV networks, it is essential to implement a digital signature scheme to ensure the integrity and authentication of commands sent to UAVs. Moreover, this digital signature scheme not only maintains the real-time performance of UAVs while executing commands but also protects the identity privacy of the signer. To meet these needs, we propose an efficient threshold attribute-based proxy signature (t-ABPS) scheme that integrates a threshold predicate specifically designed for UAV networks. The formal security proof for the t-ABPS scheme demonstrates its existential unforgeability under selective-attribute and chosen-message attacks (EUF-sA-CMA) in the random oracle model. This scheme also ensures the identity privacy of the signer. Furthermore, we evaluate the computational costs and communication costs associated with the proposed scheme. Our analysis indicates that the t-ABPS scheme is more computationally efficient than other existing attribute-based proxy signature schemes, but it has higher communication costs.

Due to the lack of scientific performance evaluation methods and effective performance management, many tax authorities’ performance evaluation and performance management are not perfect. The BP neural network has strong nonlinear mapping, self‐learning, and self‐adaptive abilities. It has been widely used in the field of numerical prediction and pattern recognition. Based on the exploration of neural network, this paper combines BP neural network with performance evaluation and applies BP neural network to the performance evaluation of university laboratories. Data envelopment analysis (DEA) is mainly used to evaluate the performance of other fields. This paper selects key laboratories as the research object. The performance evaluation of university laboratories based on BP neural network is studied. The existing laboratory evaluation system is scientifically and reasonably revised, reasonable scientific methods are introduced, and a complete and scientific evaluation scheme suitable for the current evaluation requirements is explored. This paper perfects the evaluation method system, so as to scientifically and reasonably allocate research resources, which can maximize the enthusiasm of research departments.

In current network environment, it is difficult to determine a completely trusted third party to achieve secure key distribution. To solve this problem, this article proposes a method to build a secure communication channel for communication without a trusted third party. It is suitable for the environment with wide distribution, limited computing power and storage capacity, such as intelligent terminal sensor network. This paper realizes multi-dimensional virtual permutation, designs the security model and detailed process of the protocol for virtual permutation function. It can generate a large number of keys conforming to the security rules quickly. Then we carry out security analysis and performance evaluation for the group key agreement protocol based on multi-dimensional virtual permutation. The result shows this protocol improves the security and efficiency.