Integrity Interference Attack and Defense Methods for Network Traffic Measurement
In recent years,network measurement has achieved good performance in evaluating network status and improving net-work self-adaptability,and is widely used in network management.However,there is a problem of network traffic data pollution caused by abnormal behavior in the current large-scale network.For example,malicious nodes in autonomous systems intentional-ly manipulate network metrics by forging malicious traffic data,affecting network measurements and misleading downstream task decisions.Based on this,this paper first proposes an integrity jamming attack method.By modifying the minimum cost of the traf-fic matrix,a multi-strategy jamming generator is used to generate an attack strategy that maliciously disturbs traffic,so as to achieve the purpose of jamming traffic measurement.Then,by providing a hybrid adversarial training strategy,a defense method against such attacks in the network is designed to achieve security hardening of the traffic measurement model.In the experiment,the attack target is limited accordingly,and the effectiveness of the integrity interference attack in the restricted scenario is veri-fied.And through the comparison of the mixed training method,the robustness of the reinforcement method of the conventional model is verified.
万方数据
维普
