Research on Algorithm Based on Secure Computer Network Defense

Abstract

Abstract. In order to solve the problems that the network security defense measures are independent, passive and lagging, and anomaly detection needs an effective training set, a scalable dynamic compound virtual network framework and strategy for active defense is designed and realized in this paper, a classification method based on real network data is also proposed. While PSO-FCM clustering algorithm is used to analyze the data in real network, immune evolutionary algorithm is used to dynamically adjust the number of clusters. Experimental results show that this algorithm has correct cluster and standard of network data, and can extract relatively pure training data from the network data.

Motion and Trajectory Planning and Simulation of a High Frequency Transformer Winding Robot Pose

“…The planning of the trajectory is to determine a path from the initial pose to the final position, so that the robot can complete the task of winding the knot without collision along this path [3]. This needs to give the robot autonomous planning ability, the robot system and the user to provide the specific description of the business model and the geometric representation of the workspace, this study is based on the determination of the error-free scope of the workspace, that is, the robot node sensing array and local area network system are not adopted, so offline planning is used to carry out simulation research [4].…”