Research On Key Technologies Of XX Network Self-immune Protection System

XX network is an important link of information transmission in cyberspace,and has great significance of military and strategy.Due to the intermittent links,high transmission delay,large delay variance,and security defects in the communication protocol of the XX network,traditional security technologies cannot resist the security threats of the XX network effectively.In response to these problems and difficulties,this paper researches and designs a self-immune protection system for XX network,which uses self-immune methods to form an intelligent defense system,so that XX network can detect attacks and make accurate and efficient response strategies to recover quickly.The main work and research results of this paper are as follows:(1)A self-immune protection system architecture for XX network is designed,which mainly includes a data processing module,a detector module,a memory module,and a collaborative detection module,and the functional characteristics of each module are designed in detail.(2)An adjustable threshold negative selection algorithm is proposed,which calculates and normalizes the modified cosine similarity between the detector and the self-set to define the range of the matching threshold,and improves the dynamic r continuous bit Euclidean matching method,which can effectively reduce the number of black holes.Through the experiment of the detector number threshold convergence,it is proved that the algorithm has better detection effect than the traditional negative selection algorithm,and the optimal threshold of the detector number is determined.(3)An adaptive genetic algorithm is proposed,which defines a random optimal selection operator,an adaptive crossover operator and a random mutation operator,which increases the diversity of samples under the premise of the preserving strategy.Experiments on the number and time of the detector iterations prove that the algorithm greatly reduces the number and time of iterations and improves the efficiency compared with the traditional genetic algorithm.(4)The self-immune protection system is implemented,and the performance of each module of the system is tested and analyzed through experiments.The experimental results show that the accuracy and attack detection rate of the system are stable and high,and the false alarm rate and false negative rate are stable and low.At the same time,the detection efficiency is high,which ensures the security and reliability of the XX network.