An Intrusion Detection Method in Wireless Sensor Networks Based on Mobile Edge Computing and SSA Algorithm
Aiming at the problems caused by long-distance transmission and centralized processing,in order to reduce the difficulty of intrusion detection of dense sensor nodes,reduce the delay overhead and network load,and further eliminate the risk of privacy leakage,a wireless sensor network intrusion detection method based on mobile edge computing and SSA algorithm is proposed by taking advantage of the obvious advantages of mobile edge computing closer to sensor network nodes.By deploying the edge server with computing ability near the sensor nodes,the data of wireless sensor networks are collected and the network security features are extracted,which greatly shortens the collection time.The sparrow search algorithm is used to adjust the search strategy in node collection,and the gradient change is combined to reduce the dimension to avoid falling into the optimum.Based on the location and characteristics of common nodes,distributed intrusion detection is carried out to realize the intrusion detection of wireless sensor networks.Experiments show that the average accuracy of node intrusion detection is 98.52％,and the average detection delay is 1.67 ms,so it has excellent application performance.
Mobile edge computingSparrow search algorithmWireless sensor networkIntrusion detectionFeature extraction
万方数据
维普
