Construction of network anomaly analysis model based on ant colony algorithm and network backtracking technology
Faced with the complexity of network attacks,traditional ant colony algorithms tend to fall into local optimality in large networks.Therefore,this study aims to optimize the network anomaly analysis technology.By combining ant colony algorithm and net-work backtracking technology,the basic algorithm is optimized,and the software-defined network routing strategy is introduced to balance.The results show that the link utilization of ant colony optimization is 16.9％and 9.8％higher than that of equivalent mul-tipath routing and shortest path,respectively,at peak load.The average throughput rate of the network also shows that the ant colony strategy has superior performance in maintaining routing stability.In the simulation experiment,the new strategy successfully identi-fied 17 potential attack paths,among which path 9 was identified as the main attack path.In complex network environment,the per-formance of this algorithm is about 38％higher than other methods.It can be seen that the model combining ant colony algorithm and network backtracking technology has significant advantages in large-scale network anomaly analysis.This research provides a more ef-ficient method for anomaly detection and response in network security field.
万方数据
维普
